Erdos StageArno Candel
Chief Architect, H2O.ai
Data Scientist, Banjo
Data Scientist, Stitch Fix
Competition Data Scientist & Product Manager, H2O.ai
Data Scientist, HPE Security Research
Data Scientist / Software Engineer, Playground.Global
Kaggle Master, with peak Kaggle ranking of 99th. Data scientist at Banjo. First place in epileptic seizure competition, as covered by NPR and the Washington Post.
Arno is the Chief Architect 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.
Nick Kridler is a Data Scientist on the Merch Algorithms team at Stitch Fix. He develops decision aids for the merchandising team and authored Pyxley, a Python package for simple web applications. Before working in fashion, he developed remote sensing and computer vision algorithms for the defense industry. Nick has competed in several data science competitions on Kaggle. As a member of team SluiceBox, Nick won both Cornell Right Whale detection challenges.
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.
Kaggle Master, with peak Kaggle ranking of 24th. John is a Principal Data Scientist at Hewlett Packard Enterprise, Security Research Division. John spent his youth as a high school mathelete, and majored at EECS and Cognitive Science at UC Berkeley. After graduation, he worked in cybersecurity industry, reverse-engineering binary files and classify them into malware.
Kaggle Master, with peak Kaggle ranking of 8th. Guocong has 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.