Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Joseph Regensburger

Joseph Regensburger
Head of Research, Immuta

Website

Joseph Regensburger leads the Research Group at Immuta, where he focuses on model risk management and privacy-preserving machine learning. Previously, he was chief scientist at Illumination Works, LLC and principal research scientist at the Battelle Memorial Institute. Joseph has led research efforts characterizing airport security screening devices, engineering image analysis software, and developing machine learning algorithms for biological detection. He received both Battelle’s Technical Achievement Award and Illumination Works’s Innovation Award. He holds a PhD in physics from the Ohio State University, where his research focused on experimental high-energy physics—specifically the detection of rare decays of D0 mesons.

Sessions

1:30pm5:00pm Tuesday, March 26, 2019
Andrew Burt (Immuta), Steven Touw (Immuta), richard geering (Immuta), Joseph Regensburger (Immuta), Alfred Rossi (Immuta)
Average rating: *****
(5.00, 2 ratings)
As ML becomes increasingly important for businesses and data science teams alike, managing its risks is quickly becoming one of the biggest challenges to the technology’s widespread adoption. Join Andrew Bur, Steven Touw, Richard Geering, Joseph Regensburger, and Alfred Rossi for a hands-on overview of how to train, validate, and audit machine learning models (ML) in practice. Read more.