Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY
Aaron Sant-Miller

Aaron Sant-Miller
Lead Data Scientist, Booz Allen Hamilton

Aaron Sant-Miller is a lead data scientist at Booz Allen Hamilton, where he specializes in applied mathematics, machine learning, and statistical modeling. He has architected, developed, and deployed data science solutions and machine learning suites across a wide range of domains, including tax fraud detection, climate science trend forecasting, cybersecurity risk scoring, and professional athlete performance prediction. Aaron’s current areas of research are focused on Bayesian modeling design, synthetic data generation, and optimized algorithm training design. He holds a BS and an MS in applied and computational mathematics and statistics from the University of Notre Dame.

Sessions

4:00pm–4:40pm Tuesday, May 1, 2018
Joshua Patterson (NVIDIA), Aaron Sant-Miller (Booz Allen Hamilton)
Average rating: *****
(5.00, 1 rating)
Drawing on NVIDIA’s system for detecting anomalies on various NVIDIA platforms, Joshua Patterson and Aaron Sant-Miller explain how to bootstrap a deep learning framework to detect risk and threats in operational production systems, using best-of-breed GPU-accelerated open source tools. Read more.