At H2O.ai we see a world where all software will incorporate AI, and we’re focused on bringing AI to business through software. H2O.ai is the maker behind H2O, the leading open source deep learning platform for smarter applications and data products. H2O operationalizes data science by developing and deploying algorithms and models for R, Python and the Sparkling Water API for Spark. Some of H2O’s mission critical applications include predictive maintenance, operational intelligence, security, fraud, auditing, churn, credit scoring, user based insurance, predicting sepsis, ICU monitoring and more in over 9,000 organizations. H2O is brewing a grassroots culture of data transformation in its customer communities. Customers include Capital One, Progressive Insurance, Zurich North America, Transamerica, Comcast, Nielsen Catalina Solutions, Neustar, Macy’s, Walgreens and Kaiser Permanente.
Meet Our Team
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Careers at H2O.ai
Alan is H2O.ai, Inc.’s Vice President and General Counsel. For over twenty years, Alan has served early-stage startup, emerging growth and publicly traded technology clients as a seasoned corporate and commercial transactional attorney in Silicon Valley and San Francisco. He has advised executive teams and boards on key strategic corporate and commercial transactions, corporate governance issues, and internal business and risk management process development.
He has previously served as Assistant Regional Counsel for the U.S. EPA, as a senior associate for a multi-national large law firm, and as permanent or consulting in-house counsel for technology companies as diverse as Inktomi Corporation, SPL WorldGroup, Apple, Symphony Teleca, Hortonworks, Splunk, Plaid Technologies, Pandora and ForgeRock.
He has a Bachelor of Science degree from U.C. Berkeley and a Juris Doctorate from Vermont Law School. When he’s not learning about AI, Deep Learning, Neural Networks, and Machine Learning, he’s learning about parenting from his three young children.
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 of H2O, a distributed and scalable open-source machine learning platform. He is also the main author of H2O’s Deep Learning. Before joining H2O, Arno was a founding Senior MTS at Skytree where he designed and implemented high-performance machine learning algorithms. He has over a decade of experience in HPC with C++/MPI and had access to the world’s largest supercomputers as a Staff Scientist at SLAC National Accelerator Laboratory where he participated in US DOE scientific computing initiatives 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 has authored dozens of scientific papers and is a sought-after conference speaker. Arno was named “2014 Big Data All-Star” by Fortune Magazine. 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.
Avkash brings enterprise level expertise in distributed systems, architecture, web-scale analytics, big data, machine learning and high performance computing. Prior joining to H2O, Avkash worked at Microsoft, Platfora and his own operation analytics startup Big Data Perspective, where he successfully shipped various enterprise and cloud applications.
At H2O Avkash is responsible for building enterprise ready machine learning applications, helping customer be successful using H2O products and create vibrant communities.
Beth Payne is a Strategic Global Accounts Director at H2O, responsible for named account business development. Beth has 20+ years of experience in managing strategic customer relationships. Prior to H2O, Beth held a Strategic Relationship Director role at TIBCO Software where she led a team managing many of the company’s most strategic global customers. Having a passion for disruptive technologies, she engages Fortune 500 executives in corporate transformation discussions through the use of leading edge technologies such as H2O Steam. Beth is based in Atlanta, GA and holds a B.S. in Business Administration, majoring in Finance, from the University of Tennessee.
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.
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.
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.
Fonda Ingram works for H2O as a Performance Hacker and Technical Manager. She received her Ph.D. in Computer Engineering from North Carolina State University in 1998. In addition to receiving her Ph.D. at North Carolina State she also received a Master of Science degree in Computer Engineering and a Bachelor of Science degree in Computer Science. While in graduate school, she participated in the NASA graduate student research fellowship program at the Jet Propulsion Laboratory in Pasadena, California. Her research interests include analysis and design of software systems, system architecture and performance and testing of software systems.
Upon completion of graduate school, Fonda worked at Bell Labs in Murray Hill, New Jersey in the Distributed Software Systems research area. At Bell Labs she worked on implementing object-oriented design and testing methodologies for optical networks. After a few years at Bell Labs, Fonda returned to NC to work as an enterprise architect at IBM in the Tivoli Software Systems Group where she received the IBM Master Inventor award. Currently she holds several US patents and has authored several publications in the object-oriented design and testing area and has served as a reviewer for a book on design patterns.
After several years at IBM, Fonda transitioned to SAS Institute in Cary, NC, where she worked as a patent engineer supporting corporate council in filing patent applications throughout the company. Other roles for Fonda at SAS include Competitive Intelligence Program Manager for Analytics and working as a Senior Systems Engineer for the Financial Services and Banking business unit where she was technically responsible for advising financial customers on how to analyze and explore massive amounts of complex data.
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) finished his bachelors degree in computer science at Charles University in Prague, and is currently finishing his master’s in software engineering as well. As a bachelors thesis, Kuba wrote a small platform for distributed computing of tasks of any type. On his current masters studies he’s developing a cluster monitoring tool for JVM based languages which should make debugging and reasoning about performance of distributed systems easier using a concept called distributed stack traces. Kuba enjoys dealing with problems and learning new programming languages, functional ones at most in the last days. At H2O, Kuba mostly works on our Sparkling Water project.
Aside from programming, Kuba enjoys exploring new cultures and bouldering. He’s also a big fan of tea preparation and 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.
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.
Kerry O’Shea is a Director of Customer Experience at H2O. Kerry has 20 plus years experience and success in sales, sales management and client relationship management. She is responsible for new business development at H2O. Prior to H2O, Kerry held key roles at SAS, and Experian, where she supported major initiatives in big data and analytics.
Kerry is based in New York City and holds a BA in Political Science and a Master’s Degree in international Relations, both, from St. John’s University in New York City. Kerry enjoys travel and cooking.
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).
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.
Navdeep is a Software Engineer/Data Scientist at H2O.ai. 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, & data visualization.
Previous to H2O.ai he worked at Cisco Systems, Inc. focusing on data science & 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.
In his spare time Navdeep enjoys watching documentaries, reading (mostly non-fiction or academic), and working out.
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
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 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.
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.
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.
Raymond comes to H2O as the Director of Product Engineering after a long and varied career in the startup world. He’s probably best known for being a co-founder of Pure Software where he worked on Purify and Quantify, the first two software development tools to take apart compiled code and enhance it to add error-checking and performance instrumentation.
Since then he lead the engineering team and hacked on live streaming video at major CDN BitGravity / Tata Communications, implemented the back end for voice- and CSR-ordering applications at Jacent, was an engineering project manager at iCommerce. . . and most recently did the customer-facing metadata API at Platfora. Back in the dinosaur days he worked for his one and only large company, LSI Logic, where he was part of a team of 4 which implemented the CPU in the Playstation 1 and PSP.
When he’s not typing he can generally be found practicing weird guitar and drum kit in support of his role as member of the Guitar Circle of Europe and Robert Fripp’s Orchestra of Crafty Guitarists.
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.
Sebastian is a UC Davis graduate with a degree in bioinformatics. The search for biological patterns is what brought him to machine learning. At H2O, he tackles learning various programming languages and applying them to numerous small and large scale tasks. In his free time, Sebastian enjoys board games, running, and exploring near and far.
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 BigData, NoSQL and Java circuit, Sri leaves trail @srisatish.
Terone is a multidiscipline designer who is working to enhance experiences through H2O’s marketing efforts online and everywhere else. His expertise ranges from front-end development and ux design to video production and print collateral.
Before joining H2O, Terone helped to evolve many businesses creative processes and products, in financial, health, newsprint, agency marketing and non-profit industries.
When he’s not pushing pixels or strategizing, Terone is enjoying the company of family and friends, keeping up with the Scuderia Ferrari F1 team and staying abreast of the latest creative standards and trends.
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 of 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).
Tomas is our resident Software Engineer. He received his Masters degree from the Czech Technical University. Tomas has worked at IBM-research and Agent-Technology Group. He has participated on several projects related to malware detection/protection funded by US Air Force. Specifically, he developed a system for modeling software behavior using compressed graphs of the system calls made on the system.
Tomas also created a sandbox with simulated user activity for safe execution of malware with advanced behavior extraction algorithms to extract behavior of malware injected into other processes.
Apart from his work, Tomas spends his time mountain biking, skiing, snowboarding, and staying active.
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