November 16th, 2014

Competitive Data Science, Kaggle, Kdd and other Sports

RSS icon RSS Category: Uncategorized
Fallback Featured Image


This panel promises to be just brilliant and full of sparks!

Guocong Song
Jose Guerrero
Mark Landry
Arno Candel



Arno is a Physicist & Hacker at 0xdata. Prior to that, he 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. While at SLAC, he authored the first curvilinear finite-element simulation code for space-charge dominated relativistic free electrons and scaled it to thousands of compute nodes. He also led a collaboration with CERN to model the electromagnetic performance of CLIC, a ginormous e+e- collider and potential successor of LHC. Arno has authored dozens of scientific papers and was a sought-after academic conference speaker. He holds a PhD and Masters summa cum laude in Physics from ETH Zurich. Arno was named “2014 Big Data All-Star” by Fortune Magazine.

Mark Landry

Mark is a Principal Engineer, Software Development at Dell, where he provides modeling and analytical support to the company’s largest early-stage cross-department projects. A frequent Kaggle competitor since 2012, he has finished in the top 20 in six competitions. Experience gained from the platform’s diversity of problems, domains, and solutions has led to success in quickly understanding and modeling business problems at Dell and in health care. Mark is also active in Austin’s machine learning, R, and ACM SIGKDD communities.

Guocong Song

Guocong Song is a Principal Research/Software Engineer at Sharethis. His is top-ranked at Kaggle, where he achieved 5 wins out of 10 data science competitions up to 2014. Before moving to the field of machine learning and Internet, he had been dedicated to wireless communications for a decade. He received IEEE Stephen O. Rice Prize for the best original paper in 2010, and co-authored a book titled “Energy and Spectrum Efficient Wireless Network Design” that will be published by Cambridge University Press in 2014. He holds a Ph.D. in ECE from Georgia Tech and a B.S. from Tsinghua University.

Leave a Reply

What are we buying today?

Note: this is a guest blog post by Shrinidhi Narasimhan. It’s 2021 and recommendation engines are

July 5, 2021 - by Rohan Rao
The Emergence of Automated Machine Learning in Industry

This post was originally published by K-Tech, Centre of Excellence for Data Science and AI,

June 30, 2021 - by Parul Pandey
What does it take to win a Kaggle competition? Let’s hear it from the winner himself.

In this series of interviews, I present the stories of established Data Scientists and Kaggle

June 14, 2021 - by Parul Pandey
Snowflake on
H2O Integrates with Snowflake Snowpark/Java UDFs: How to better leverage the Snowflake Data Marketplace and deploy In-Database

One of the goals of machine learning is to find unknown predictive features, even hidden

June 9, 2021 - by Eric Gudgion
Getting the best out of’s academic program

“ provides impressively scalable implementations of many of the important machine learning tools in a

May 19, 2021 - by Ana Visneski and Jo-Fai Chow
Regístrese para su prueba gratuita y podrá explorar H2O AI Hybrid Cloud

Recientemente, lanzamos nuestra prueba gratuita de 14 días de H2O AI Hybrid Cloud, lo que

May 17, 2021 - by Ana Visneski and Jo-Fai Chow

Start your 14-day free trial today