H2O.ai is the leader in AI with its visionary open source platform, H2O. Its mission is to democratize AI for all. H2O.ai is transforming the use of AI within all software with its category-creating visionary open source machine learning movement. More than 12,600 companies use open-source H2O in mission-critical use cases for Finance, Insurance, Healthcare, Retail, Telco, Sales, and Marketing. H2O.ai recently launched Driverless AI that uses AI to do AI in order to provide an easier, faster and cheaper means of implementing data science. In February 2018, Gartner named H2O.ai, as a Leader in the 2018 Magic Quadrant for Data Science and Machine Learning Platforms. H2O.ai partners with leading technology companies such as NVIDIA, IBM, AWS, Azure and Google and is proud of its growing customer base which includes Capital One, Progressive Insurance, Comcast, Walgreens and Kaiser Permanente.
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Careers at H2O.ai
Angela is the doc whisperer at H2O. She began writing when she was in her single digits, though these early documents are either heavily redacted or remain confidential.
Since graduating from the University of Detroit Mercy with a B.A. in English, she has worked as a technical writer in a variety of industries. Her affinity for machine learning software grew from her two-year tenure reigning over all documentation at Skytree.
Angela loves learning new software, new tools, and new approaches for delivering documentation. When she’s not working, Angela likes to spend time with her husband (with whom she has fierce sporting rivalries) and their old dog (who has to put up with said rivalries). She also enjoys trying out new restaurants and tasting craft beers, especially those made by her friends.
Anmol has a operations and build/test background. In the past he has worked with small digital agency and a global marketing and advertising company.
Anmol likes being the in-between person with operations, QA and engineers. He loves learning new things and always tries to expand his knowledge of everything.
In his spare time Anmol likes to go on adventures and work on anything with two wheels bicycles and motorcycles.
Arno Candel is the Chief Technology Officer at H2O.ai. He is the main committer of H2O-3 and Driverless AI and has been designing and implementing high-performance machine-learning algorithms since 2012. Previously, he spent a decade in supercomputing at ETH and SLAC and collaborated with CERN on next-generation particle accelerators.
Arno holds a PhD and Masters summa cum laude in Physics from ETH Zurich, Switzerland. He was named “2014 Big Data All-Star” by Fortune Magazine and featured by ETH GLOBE in 2015. Follow him on Twitter: @ArnoCandel.
Ashrith is the security scientist designing anomalous detection algorithms at H2O. He recently graduated from the Center of Education and Research in Information Assurance and Security (CERIAS) at Purdue University with a PhD in Information security. He is specialized in anomaly detection on networks under the guidance of Dr. William S. Cleveland.
He tries to break into anything that has an operating system, sometimes into things that don’t. He has been christened as “The Only Human Network Packet Sniffer” by his advisors.
When he is not working he swims and bikes long distances.
Cari is a Customer Engagement Manager at H2O, responsible for new business development within named accounts. Cari brings over 20 years of successful enterprise software experience to H2O. She works with Fortune 500 companies to help discover the extraordinary business benefits that can be gained from machine learning. She is passionate about big data and the enormously valuable data insights that can be achieved through H2O’s prediction and math engine.
Previously, Cari held various business development leadership and sales roles at TIBCO Software. Cari is based in Southern California and holds a B.A. in Psychology from the University of the Pacific. She enjoys spending time with her family, sailing, and traveling.
Chandan is a maker at H2o.ai. Chandan earned his MS from BITS Pilani, India in Computer Science. He lead a financial incentives product from concept to market leadership position at Zyme. He was the founder at Storrz.com an e-commerce marketplace and had given several talks in the space of machine intelligence.
Dmitry has more than 10 years of experience in IT. Starting with data warehousing and BI, now in big data and data science.
He has a lot of experience in predictive analytics software development for different domains and tasks.
He is also a Kaggle Grandmaster who loves to use his machine learning and data science skills on Kaggle competitions.
Over 15 years of web and web application development experience delivering enterprise front end solutions (strong emphasis on data visualization) for companies such as: Google, Intuit, McKinsey & CO, Bank of America and eTrade. All phases: Program management, lead development, and senior development roles. For past 5-6 years primarily focused on Single Page Applications(SPAs) using Google Angular framework.
Erin is a Statistician and Machine Learning Scientist at H2O.ai. She is the main author of H2O Ensemble. Before joining H2O, she was the Principal Data Scientist at Wise.io and Marvin Mobile Security (acquired by Veracode in 2012) and the founder of DataScientific, Inc.
Erin received her Ph.D. in Biostatistics with a Designated Emphasis in Computational Science and Engineering from University of California, Berkeley. Her research focuses on ensemble machine learning, learning from imbalanced binary-outcome data, influence curve based variance estimation and statistical computing. She also holds a B.S. and M.A. in Mathematics.
Gregory helps H2O customers solve problems using both advanced data science and business experience. His career started on Wall Street as a software developer for a market data provider and in last 20+ years he led architecture and development of enterprise supply chain software suite, worked as principal integration engineer at FedEx, helped companies like American Airlines and Terminix jump start their web presence. Last 6 years Gregory spent at Teradata leading pre-sales data science on Aster and R. His package toaster was first open-source tool to integrate Aster and R and is hosted on CRAN.
Gregory holds MSc in Applied Math from the U. of Texas at Dallas, is a frequent traveler, avid tennis player, and amateur wine geek.
As our first Canadian employee, Jag represents H2O in the Great White North! In her role as Program Manager, Community Engagement and Customer Success, she connects with the Canadian AI community while cultivating relationships with our Canadian customers.
Previously, Jag was a Project Manager at one of the Big Four consulting firms, where she garnered a passion for disruptive innovation. As a Toronto native ( and University of Toronto alumnus ), she is excited to see her hometown become one of the AI centers of the world.
Jakub (or “Kuba” as we call him) completed his Bachelor’s Degree in Computer Science and Master’s Degree in Software Systems at Charles University in Prague. As a bachelor’s thesis, Kuba wrote a small platform for distributed computing of any types of tasks. During his master’s degree studies, he developed a cluster monitoring tool for JVM based languages which makes debugging and reasoning the performance of distributed systems easier using a concept called distributed stack traces. Kuba enjoys dealing with problems and learning new programming languages. At H2O.ai, Kuba works on Sparkling Water.
Aside from programming, Kuba enjoys exploring new cultures and bouldering. He’s also a big fan of tea preparation and the associated ceremony.
Jeff Fohl is a UI Engineer at H2O. A graduate of the Rhode Island School of Design, with over 20 years of experience in developing for the Web and other computing platforms, he brings together the worlds of art, design, and engineering. His work at H2O is focused on making machine learning more usable, intuitive, and natural.
Prior to joining H2O, Jeff split his time between building Single Page Applications for various clients, and participating in the community surrounding Numenta’s machine intelligence platform NuPIC, where he developed a passion for machine intelligence and open source software.
Jeff was also previously the Creative Director at GTxcel, where he helped design and build hundreds of magazine websites, as well as the content management system that powered them – Rivista.
He has also held leadership roles in the San Francisco non-profit art and design communities.
Jeff is a well traveled DevOps engineer, Jeff has spent time working across many industries and functional roles.
Before H2O, Jeff has worked on everything from professional touring with a famous rock band to writing code and procedures
for the US Army. Most recently Jeff has focused on Big Data Platforms and DevOps automation. Having worked for
several SaaS companies, Jeff brings operational discipline and deep knowledge of systems engineering across the Operations ecosystem. Jeff has designed off-site and international Data Centers as well as built embedded linux systems for commercial deployment, and run 24/7 on call support for several SaaS. Besides being a storage engineer, a network engineer and team focused developer, Jeff also professes a love new things, like Linux containers and especially Docker.
Jo-fai (Joe) is a data scientist at H2O.ai. Before joining H2O, he was in the business intelligence team at Virgin Media where he developed data products to enable quick and smart business decisions. He also worked (part-time) for Domino Data Lab as a data science evangelist promoting products via blogging and giving talks at meetups.
Joe has a background in water engineering. Before his data science journey, he was an EngD researcher at STREAM Industrial Doctorate Centre working on machine learning techniques for drainage design optimization. Prior to that, he was an asset management consultant specialized in data mining and constrained optimization for the utilities sector in UK and abroad. He holds a MSc in Environmental Management and a BEng in Civil Engineering.
Long before Joe immersed himself in the wonderful world of open-source R and Python, he learned his trade as an avid MATLAB user. When he was a kid, his parents taught him one of the famous old Chinese sayings – when one drinks water, one must not forget where it comes from. So when Twitter asked Joe to be creative, he simply put down @matlabulous as his handle.
In 2014, his data visualization side project ‘CrimeMap’ led him to a poster presentation at useR! 2014 where he heard about H2O for the very first time. He has been using H2O for various data science projects ever since.
Jon is the Chief Financial Officer for H2O.ai Inc. Jon has over 12 years of experience in various capacities in financial and accounting leadership.
Before H2O.ai, Jon was VP of Finance at Datameer Inc. where he successfully raised $59 million in two rounds of financing between 2013 and 2015. Over the course of 5 years at Datameer, Jon managed significant year over year growth in bookings, headcount and OPEX. Before Datameer, Jon was Divisional Controller for Serious Energy, an energy management company with software and building materials divisions. Jon also spent 6 years in public accounting with CBIZ/MHM, one of the top 10 accounting firms in the United States.
Jon’s expertise includes financial accounting, financial analysis, forecasting, business modeling, software revenue recognition, financial reporting and oversight, and business plan implementation. While in public accounting Jon worked with various industries including manufacturing, real estate development, software, service industries, and non-profit organizations.
Jon completed his Undergraduate Degree in Economics from Harvard University and Master’s of Business Administration with a Graduate Certificate in Accounting from Westminster College.
Jorge Luis Hernandez Villapol
Jorge Luis Hernandez Villapol
Jorge Luis Hernandez Villapol, is a Software Engineer and Data Scientist at H2O. He comes from an Electronics Engineering background where the passion and excitement from the Mechatronics and Robotics field led him to AI and Intelligent Systems.
He has a M.S. in Electrical Engineering from UNT and a Bachelor’s Degree in Electronics Engineering from the Simon Bolivar University (USB) in Caracas, Venezuela.
Like many engineers, Jorge loves challenges and groundbreaking problems to solve. He also enjoys watching and traveling to sports events (F1, Soccer, Tennis) and the casual gaming sessions.
Josephine Wang is the Head of Customer Experience at H2O, makers of H2O, the open source math and machine learning engine for big data. Josephine has 20 plus years experience and success in sales and customer relationship building. She is responsible for all new business development and management of client services for H2O. Prior to H2O, Josephine held key roles at Teradata and SAS where she acquired her passion for analytics and big data.
Previously, Josephine specialized in corporate governance and risk management at ISS and SunGard. She began her career in private client services at Bear Stearns and Co. in New York and holds a BS in Finance from the University of Delaware.
Justin is a Software Engineer at H2O originally from the Bay Area. Justin earned his undergraduate degree from the University of California, San Diego and his J.D. from the University of Denver, Sturm College of Law. His core proficiencies are in API and UI development and has interests in Machine Learning, Go, Rust, and Angular.
Kristina is an inside sales rep at H2O.ai and is excited to focus on the limitless possibilities that Driverless AI offers to companies. Based in Las Vegas, Kristina has many years of client-centric sales experience. She has a B.A. in Psychology from the University of Michigan. Kristina enjoys playing tennis and doing Hot Pilates in her spare time.
Lauren is a Data Scientist and a variety pack of flavored H2O, handling data science projects, customer success, api updates, and documentation. Her background is equally diverse. She received her B.A in geophysics at UC Berkeley and earned her M.S. in geophysics at Scripps Institution of Oceanography.
Prior to joining H2O, Lauren worked as a science reporter through Science Magazine’s Mass Media Fellowship, and a content producer for an adventure startup.
In her free time, Lauren can be found mountain biking (trying but failing to avoid poison oak), rock climbing, or surfing.
Leland Wilkinson is Chief Scientist at H2O and Adjunct Professor of Computer Science at the University of Illinois Chicago. He received an A.B. degree from Harvard in 1966, an S.T.B. degree from Harvard Divinity School in 1969, and a Ph.D. from Yale in 1975. Wilkinson wrote the SYSTAT statistical package and founded SYSTAT Inc. in 1984. After the company grew to 50 employees, he sold SYSTAT to SPSS in 1994 and worked there for ten years on research and development of visualization systems. Wilkinson subsequently worked at Skytree and Tableau before joining H2O.
Wilkinson is a Fellow of the American Statistical Association, an elected member of the International Statistical Institute, and a Fellow of the American Association for the Advancement of Science. He has won best speaker award at the National Computer Graphics Association and the Youden prize for best expository paper in the statistics journal Technometrics. He has served on the Committee on Applied and Theoretical Statistics of the National Research Council and is a member of the Boards of the National Institute of Statistical Sciences (NISS) and the Institute for Pure and Applied Mathematics (IPAM). In addition to authoring journal articles, the original SYSTAT computer program and manuals, and patents in visualization and distributed analytic computing, Wilkinson is the author (with Grant Blank and Chris Gruber) of Desktop Data Analysis with SYSTAT. He is also the author of The Grammar of Graphics, the foundation for several commercial and opensource visualization systems (IBMRAVE, Tableau, Rggplot2, and PythonBokeh).
Lingyao works on model interpretability at H2O.ai.
Lingyao graduated from The George Washington School of Business with a MS in Business Analytics and a BA in mathematics from Grinnell College. She gained interest in data visualization, natural language processing, data mining and machine learning during her education, and was inspired to join H2O.ai to work on model interpretability.
Prior to joining H2O.ai, Lingyao interned with Congressman Blake Farenthold on the hill doing media research and constituent correspondence.
Magnus has been a scientist and software engineer in companies ranging from new startups to large companies. Using machine learning and information retrieval, he has built large scale real-time similarity search, product recommendation systems, text analysis, medical and machine diagnosis, information retrieval, trust graph recommendations, user-behavior modeling for internet security and data analysis systems for internet and enterprise software companies. Applications have been to social shopping, internet security, marketing automation, legal text analysis and more. In addition to this he has consulting and teaching experience.
Magnus holds a PhD in Computer Science and an MSc in Computer Science and Engineering from the Royal Institute of Technology (KTH) in Stockholm, Sweden. He has also studied neuroscience, philosophy, business and linguistics.
Marios Michailidis is now a Research data scientist at H2O.ai . He holds a Bsc in accounting Finance from the University of Macedonia in Greece and an Msc in Risk Management from the University of Southampton. He has also nearly finished his PhD in machine learning at University College London (UCL) with a focus on ensemble modelling. He has worked in both marketing and credit sectors in the UK Market and has led many analytics’ projects with various themes including: Acquisition, Retention, Recommenders, Uplift, fraud detection, portfolio optimization and more.
He is the creator of KazAnova, a freeware GUI for credit scoring and data mining 100% made in Java as well as is the creator of StackNet Meta-Modelling Framework. In his spare time he loves competing on data science challenges and was ranked 1st out of 500,000 members in the popular Kaggle.com data competition platform. Here is a blog about Marios being ranked at the top in Kaggle and sharing his knowledge with tricks and ideas.
Finally, Marios’ likendin profile can be found here, with more information about what he is working on now or past projects.
Mark is a hacker at H2O. He was previously in the finance world as a quantitative research developer at Thomson Reuters and Nipun Capital. He also worked as a data scientist at an IoT startup, where he built a web based machine learning platform and developed predictive models.
Mark has a MS Financial Engineering from UCLA and a BS Computer Engineering from University of Illinois Urbana-Champaign. In his spare time Mark likes competing on Kaggle and cycling.
Mark Landry is a competition data scientist and product manager at H2O. He enjoys testing ideas in Kaggle competitions, where he is ranked in the top 100 in the world (top 0.03%) and well-trained in getting quick solutions to iterate over. Most at home in SQL, he found H2O through hacking in R. Interests are multi-model architectures and helping the world make fewer models that perform worse than the mean.
Mateusz is a software developer who loves all things distributed, machine learning and hates buzzwords. His favourite hobby data juggling.
He obtained his M.Sc. in Computer Science from AGH UST in Krakow, Poland, during which he did an exchange at L’ECE Paris in France and worked on distributed flight booking systems. After graduation he move to Tokyo to work as a researcher at Fujitsu Laboratories on machine learning and NLP projects, where he is still currently based.
In his spare time he tries to be part of the IT community by organising, attending and speaking at conferences and meet ups.
Matt is the main author of the data.table package in R. He has worked for some of the world’s largest financial organizations: Lehman Brothers, Salomon Brothers, Citigroup, Concordia Advisors and Winton Capital. He is particularly pleased that data.table is also used outside Finance, for example Genomics where large and ordered datasets are also researched.
Matt has been programming in S/R for 15 years, knows C pretty well and holds a first class BSc in Applied Maths and Computing from Warwick University, U.K.
Megan is a Customer Data Scientist at H2O. Prior to working at H2O, she worked as a Data Scientist building products driven by machine learning for B2B customers.
She has experience working with customers across multiple industries, identifying common problems, and designing robust and automated solutions.
Megan is based in New York City and holds a degree in Applied Mathematics. In her free time, she enjoys hiking and yoga.
Michal is a software engineer with a passion for crafting code in Java and other JVM languages.
He started his professional career as a J2EE developer and spent his time building all sorts of web and desktop applications. Four years ago he truly found himself when he entered the world of big data processing and Hadoop. Since then he enjoys working with distributed platforms and implementing scalable applications on top of them.
He holds a Master of Computer Science form Charles University in Prague. His field of study was Discrete Models and Algorithms with focus on Optimization.
Michal is a geek, developer, Java, Linux, programming languages enthusiast developing software for over 10 years.
He obtained PhD from the Charles University in Prague in 2012 and post-doc at Purdue University.
During his studies he was interested in construction of not only distributed but also embedded and real-time component-based systems using model-driven methods and domain-specific languages. He participated in design and development of various systems including SOFA and Fractal component systems or jPapabench control system.
Michal completed his Bachelor’s Degree in Computer Science at Comenius University in Bratislava, Slovakia, and his Master’s Degree in Software Systems at Charles University in Prague, Czechia. At H2O.ai Michal works on the build and test infrastructure and also as the software engineer on the H2O-3. In the past he has worked as the server developer in a small IT company in Bratislava.
When he’s not working, he loves to tinker with everything that can fly and can be remotely controlled.
Monika (or stjoern) completed PhD in hydrodynamics at VSB Technical University Ostrava.
Monika was interested in the finding of a non-numerical solution for non-linear models using Navier-Stokes equations in 3D,
where she took advantage of the 3D system transfer to the simplified form solution using stream function and vorticitz, which was the subject of her dissertation.
Simpler systems were able to solve using symmetry, i.e. Chebyshev polynomials and spectral methods.
Monika is interested in abstract algebra and general mathematics.
In her free time she is interested in network, server and application security.
For her interests, she uses the metasploit framework, in particular she is interested in new server-side vulnerabilities and writes in ruby, perl and python scripts that use metasploit.
For lower exploits uses assembler and works with malware analysis.
Navdeep Gill is a Software Engineer & Data Scientist at H2O.ai where he focuses on model interpretability, GPU accelerated machine learning, and automated machine learning. He graduated from California State University, East Bay with a M.S. degree in Computational Statistics, B.S. in Statistics, and a B.A. in Psychology (minor in Mathematics). During his education, he gained interests in machine learning, time series analysis, statistical computing, data mining, and data visualization.
Before joining H2O.ai, he worked at Cisco Systems, focusing on data science and software development. Before stepping into industry he worked in various Neuroscience labs as a researcher/analyst. These labs were at institutions such as California State University, East Bay, University of California, San Francisco, and Smith Kettlewell Eye Research Institute. His work across these labs varied from behavioral, electrophysiology, and functional magnetic resonance imaging research. Connect with Navdeep on Twitter @Navdeep_Gill_.
Nicholas Png is a Partnerships Software Engineer at H2O.ai. Prior to working at H2O, he worked as a Quality Assurance Software Engineer, developing software automation testing. Nicholas holds a degree in Mechanical Engineering, and has experience working with customers across multiple industries, identifying common problems, and designing robust, automated solutions.
Nikhil is a Data science intern at h2o. He is currently a Graduate student at University of Buffalo majoring in Artificial Intelligence and is interested in developing scalable machine learning algorithms.
Prior to joining the Master’s course, he has worked for over 4 years for companies like Impetus technologies, Cognizant – Center of Excellence, on Big data technologies like Apache Spark, Hadoop, Map-reduce, HBase, Hive, Solr to name a few.
In his spare time, Nikhil enjoys travelling, exploring places and driving.
Nishant is an undergraduate machine learning hacker intern at H2O. He is currently finishing his last year in pursuing a degree in Computer Science and Applied Mathematics at UC Berkeley. He is an avid learner, and doesn’t like to leave any stone unturned when diving into new fields. When not at work or at class, Nishant can be found hiking, volunteering at animal shelters, or experimenting in the kitchen
I’m a software engineer focusing on Golang, Python and I have an interest in Big Data and Machine Learning. I like building and optimizing scalable services.
For my bachelor’s thesis I worked on software for processing and visualising space radiation data for CTU and ESA.
I obtained B.Sc. in Computer Science from Czech Technical University in Prague and I’m finishing my M.Sc. in Computer Science and System Programming there. I also spent few month as an exchange student at the University of Texas in El Paso.
In my free time I like hiking, running, cycling and skiing but in my heart I’m an aviation geek and diving enthusiast.
Pasha is a Hacker Scientist at H2O.ai. He holds an MS in Applied Physics and Mathematics from Moscow Institute of Physics and Technology, an MA in Economics from New Economic School (Moscow), and a PhD in Economics (econometrics) from Stanford University. During his education he obtained knowledge in Computer Science, Machine Learning, Statistics and Econometrics.
Prior to coming to H2O.ai, Pasha was working at a stealth-level machine learning startup Machinify.com as a data scientist / frontend engineer; before that as an engineer at Facebook; and before as a senior quantitative analyst at a business consulting company Keystone Strategy, working on big data analysis.
In his free time, Pasha enjoys spending time with his family, reading, and solving Project Euler problems (level 18).
Patrick has made a career out of creating and delivering software and training for data scientists, particularly those who love R. He has worked on Oracle R Enterprise at Oracle, RevoScaleR at Revolution Analytics, Bioconductor at Fred Hutchinson Cancer Research Center, and S-PLUS at Insightful Corporation (now part of the Spotfire division of TIBCO). Just prior to joining H2O.ai, he spent a year at an e-commerce company where he used H2O to drive marketing decisions. Patrick received an M.S. in Statistics from the University of Washington and a B.S. in Statistics from Carnegie Mellon University.
Patrick Hall is a senior director for data science products at H2o.ai where he focuses mainly on model interpretability. Patrick is also currently an adjunct professor in the Department of Decision Sciences at George Washington University, where he teaches graduate classes in data mining and machine learning.
Prior to joining H2o.ai, Patrick held global customer facing roles and R & D research roles at SAS Institute. He holds multiple patents in automated market segmentation using clustering and deep neural networks. Patrick was the 11th person worldwide to become a Cloudera certified data scientist. He studied computational chemistry at the University of Illinois before graduating from the Institute for Advanced Analytics at North Carolina State University.
Patrick is a recent graduate of Computer Science from Boise State University. He first started working with machine learning within the defense world. After realizing there would be more room for him to grow in the business sector he joined on to the development team at H2O. He currently assists as a quality engineer for Steam. He has a desire to grow the computing world by being a contributor to the open source community.
Prashant Natarajan is Senior Director & Product Maker at H2O.ai where he is responsible for AI solutions for industry verticals: health, life sciences, & government. His current areas of focus span innovations in health insurance, drug discovery & safety, precision medicine, and opioid crisis. He is a recognized industry expert, hands-on solutions specialist, and best-selling author of books on big data, analytics, applied machine learning, and cancer informatics.
He is currently writing “Demystifying AI for the Enterprise” (2018) with an all-star cast of AI experts, data scientists, and senior executives.
Prashant serves as Industry Advisor for the CIAPM computer vision projects at San Francisco VA and is on the Board of Advisors at Council for Affordable Health Coverage, Washington DC. He also teaches Applied Deep/Machine Learning & Artificial Intelligence as Co-Faculty Instructor at Stanford University, Palo Alto, CA.
Prithvi is Chief of Technology, Applications at H2O.ai. Prithvi has over a decade of experience in patterns, practices and programming strategies for building highly interactive, robust, large scale GUI applications. Over the past few years, he has been building data visualization libraries, statistical graphics routines and highly interactive user interfaces for browser-based exploratory visual analysis and communication of massive data sets
Prior to joining H2O, he engineered the high performance data visualization platform and canvas based rendering engine at Platfora and scaled it to render millions of marks. Before that, he founded and built Plot.io, a browser-based visual analytics and data exploration environment that minified down to ~150KB. Plot.io was acquired by Platfora.
Prithvi loves playing around with programming languages, generative art and music production.
Priya is an Account Executive at H2O. Priya has 16 years’ experience and success in sales, product management and client relationship management. Priya will focus on selling Driverless AI. Priya joins us from Domo Inc. where she was part of the enterprise and strategic sales team. Prior to Domo, she worked at Microstrategy Inc. and even spent time working for H2O’s customer Marketshare Partners.
Priya is based in the NY Metro area but has spent much of her early career on the west coast. A graduate of UCLA, Priya got her BS in Electrical and Computer Engineering. Priya is also a professional dancer and enjoys dancing, yoga and playing the guitar.
Her other interests include diving deep into economic models, fixing bugs, solving puzzles and math problems. At home she can be seen cuddling her German Shepherd. As an active hiker she has hiked more than 10 national parks in the US.
Ravi is a learning games designer and developer with a lifelong fascination for how interactive media can be used to help explain complex concepts in entertaining ways. As part of H2O’s UI team, he creates applications to help people learn about the different uses for machine learning and all its potential.
Previously he helped launch numerous educational games within the MIT Education Arcade research group, including Lure of the Labyrinth and Xenos. He was a recipient of the Alexander von Humboldt foundation’s German Chancellor’s Fellowship, where he spent multiple years consulting with government and academic institutions throughout Germany on their educational gaming and digital literacy efforts. He holds a bachelor’s degree in Linguistics and Psychology from UCLA, as well as a masters degree in Comparative Media Studies from MIT.
Rosalie is our Director of Community and Content Management.
She’s incredibly excited about the possibilities created by AI to improve lives and businesses.
Before joining the H2O team, Rosalie was the founder of Rozee, a site for content and community focused on AI in Enterprise.
Prior to founding Rozee, she enjoyed several years in the enterprise drone industry, as Kespry’s first full-time marketing hire and the Editor of Drones at Work.
Sanjay Joshi is the Chief of Technology, Healthcare and Life Sciences at H2O.ai. Based in Seattle, Sanjay’s 25+ year career has spanned the entire gamut of life-sciences and healthcare from clinical and biotechnology research to healthcare informatics to medical devices. A “skunkworks” engineer, bioengineer and informaticist, he defines himself as a “non-reductionist” with a “systems view of the world.”
His current focus is a systems-level understanding of Healthcare, Genomics, Proteomics, Microbiomics, Imaging and IoT processes. Recent experience has included data management and instruments for Electronic Medical Records; Proteomics and Flow Cytometry; FDA and HIPAA validations; Lab Information Management Systems (LIMS); Translational Genomics research and Imaging. Sanjay holds a patent in multi-dimensional flow cytometry analytics. He began his career developing and building X-Ray machines. Sanjay was the recipient of a National Institutes of Health (NIH) Small Business Innovation Research (SBIR) grant and has been a consultant or co-Principal-Investigator on several NIH grants. He is actively involved in non-profit biotech networking and educational organizations in the Seattle area and beyond.
Sanjay holds a Master of Biomedical Engineering from the University of New South Wales, Sydney and a Bachelor of Instrumentation Technology from Bangalore University. He has completed several medical school and PhD level courses (in Sydney and Seattle). He likes to balance his fuzzy, neural-network achievements with maker-projects that actually involve physical effort.
SriSatish Ambati is the CEO and Co-Founder of H2O.ai – the maker behind H2O, the leading open source machine learning platform for smarter applications and data products. Before H2O, Sri spent time scaling R over Big Data with researchers at Purdue and Stanford, after co-founding Platfora and taking on the role of the Director of Engineering at DataStax. He joined Datastax from a Java multi-core startup Azul Systems where he was a Partner & Performance engineer tinkering with the entire ecosystem of enterprise apps at scale. Prior to that Sri worked on NoSQL trie-based index for semi-structured data at in-memory index startup RightOrder, before taking a sabbatical pursuing Theoretical Neuroscience at Berkeley.
Sri is known for his knack for envisioning killer apps in fast evolving spaces and assembling stellar teams towards productizing that vision. A regular speaker in the Big Data, NoSQL and Java circuit, Sri leaves a trail @srisatish.
Terry is an active contributor to numerous popular open-source softwares, including TensorFlow, XGBoost, MXNet, etc. He’s also an award-winning author of best-selling book TensorFlow in Practice which is the first book teaching TensorFlow in Chinese and has becoming training material for many companies and research labs in China. Before H2O.AI, he led a small team of software engineers and data scientists to build Uptake’s scalable data science platform used in multiple industries. He graduated from the Penn State University in Mathematics with honors and was a founding member of DataNovo during his study there.
Tom is VP of Customer and Pre-Sales Engineering at H2O & key to the magic of engineering & customer happiness.
A quintessential team member – Tom is an extraordinary blend of technical genius, customer focus and management by example.
Before joining H2O, Tom was Co-founder & CTO at Luminix, where he and the team developed a cutting-edge offline mobile application for Salesforce users. This involved a healthy blend of focusing on the user-experience along with a deep-dive in various technologies.
Prior to Luminix, Tom was a Principal Engineer at Azul Systems, where he worked in both the JVM and System Software teams. Tom served as the technical leader for the distributed management application team, appliance security and tools for distributed debugging.
Tom’s experience at systems and chip startup companies involved straddling the hardware-software boundary.
Tom led pre-silicon verification infrastructure development for a terabit networking switch fabric chipset at Abrizio (acquired by PMC-Sierra). He also developed architectural CPU simulators, debuggers and toolchains at Chromatic Research (acquired by ATI). Tom got his start in technology at Intel, spending internships and co-ops in both the Portland (MD6) and Santa Clara (MD7) microprocessor design groups.
A lesser-known fact about Tom: Finding the now-famous Pentium floating-point divide (FDIV) bug while at Intel using the testing harness and methodology he developed (several months before it was independently discovered outside Intel, and subsequently gained worldwide attention).
Tom has an MS degree in Electrical Engineering from the University of Illinois (at Urbana-Champaign), and a BSE degree in Computer
Engineering from the University of Michigan (at Ann Arbor).
Venkatesh is an innovative entrepreneurial thought leader and technologist focussed on Data Products Engineering and Customer Success at H2O(@h2oai). Software Engineering Leader at heart with a focus on building great teams that delivers amazing products and customer happiness.
Venkatesh serves H2O as Senior Director Data Products and Applications Engineering. He joined the company from Adobe Systems, where he held a number of positions in the Software Engineering and Leadership space including his latest role as Sr. Manager, Software Engineering and Product Management with primary focus on Master Data Management and Data Science. Venkatesh played an instrumental Engineering and Product Management leadership role as an “Entrepreneur in Residence” in the various key strategic programs and initiatives like Adobe@Adobe, Adobe.io and Adobe.Data.
Experience of managing and working with teams across the globe in US, Canada, Switzerland, Romania, India with a focus on value creation. Prior to Adobe Systems Venkatesh has served technology companies in various engineering roles in companies like Philips, HP and IBM.
Venkatesh holds a Bachelor of Commerce degree from Mumbai University India and has successfully completed Product Management program from UC Berkeley and General Business Administration and Management program from McGill University.
Connect with Venkatesh (@venkateshai)
Vinod comes with over 7 years of Marketing & Data Science experience in multiple startups. He was the founding employee for his previous startup, Activehours, where he helped build the product and bootstrap the user acquisition with growth hacking. He has seen the user base for his companies grow from scratch to millions of customers. He’s built models to score leads, reduce churn, increase conversion, prevent fraud and many more use cases.
He brings a strong analytical side and an metrics driven approach to marketing. He is responsible for all of our demand generation and growth efforts. When he is not busy hacking, Vinod loves painting and reading. He is a huge foodie and will eat anything that doesn’t crawl, swim or move.
Wen is a Solutions Architect for H2O, a distributed and scalable open-source machine learning platform. He ensures that the user and customer experience with the H2O brand, products, and services is nothing short of remarkable. Wen helps businesses and organizations make better decisions and achieve positive outcomes with data, analytics, and beautiful design — often in the face of substantial complexity, uncertainty, and risks. He is a storyteller, math geek, and presentation design enthusiast that happened to earn a BS in Electrical Engineering and MS in Analytics. Personally, he enjoys spinning hip-hop records, dining out, and spending time with his wife and toddler — oh, and guzzling cookies and cream milkshakes, too! Follow him on Twitter: @wenphan
Wendy is a hacker at H2O.ai devising solutions to making systems smarter. Prior to working at H2O.ai, she was building intelligent applications on mobile devices to recognize user activities from sensor data and predict user app usage from user logs at Lab126. At Intel Labs and Aperto Networks, she was a system engineer/architect designing wireless communication systems for WiFi and cellular networks.
Wendy obtained her bachelor in electrical engineering from Purdue University and a master and Ph.D. in Electrical Engineering from Cornell. She loves machine learning, swarm intelligence, mathematics and wireless communication systems. She enjoys being involved with all phases of the product development cycle; requirements analysis (what are we building and how well does it need to perform), architecture/algorithm design, performance analysis and simulation, prototyping/implementation, integration, test, and verification. Her diverse interests and skills are reflected in her patents.
In her spare time, Wendy loves learning new things, being active, reading, and scuba diving. She loves the ocean and wishes she could be an amphibian someday.
SriSatish Ambati: ceo/maker/engineer @ H2O.ai
Cliff Click: co-founder @ H2O.ai
Stephen Boyd: Professor of EE Engineering, Stanford
Rob Tibshirani: Professor of Health Research and Policy, and Statistics, Stanford
Trevor Hastie: Professor of Statistics, Stanford
Doug Lea: ACM Fellow, Malloc for C. fork-join. java memory model, suny oswego
Chris Pouliot: VP Of Data Science, Lyft, formerly, Netflix, Google