Mar 15–18, 2020
Patrick Hall

Patrick Hall
Senior Director | Adjunct Professor, H2O.ai | George Washington University

@jpatrickhall

Patrick Hall is a senior director for data science products at H2O.ai, where he focuses mainly on model interpretability and model management. Patrick is also an adjunct professor in the Department of Decision Sciences at George Washington University, where he teaches graduate classes in data mining and machine learning. Previously, Patrick held global customer-facing and R&D research roles at SAS Institute. He holds multiple patents in automated market segmentation using clustering and deep neural networks. Patrick is 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.

Sessions

1:30pm5:00pm Monday, March 16, 2020
Location: LL21 E/F
Patrick Hall (H2O.ai | George Washington University)
Even if you've followed current best practices for model training and assessment, machine learning models can be hacked, socially discriminatory, or just plain wrong. Patrick Hall breaks down model debugging strategies to test and fix security vulnerabilities, unwanted social biases, and latent inaccuracies in models. Read more.

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