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

Rachel Thomas

Website | @math_rachel

Rachel Thomas was selected by Forbes as one of “20 Incredible Women in AI”, was an early engineer at Uber, and earned her math PhD at Duke. She is co-founder of, which created the “Practical Deep Learning for Coders” course that over 200,000 students have taken, and she is also a professor at the University of San Francisco Data Institute. Rachel is a popular writer and keynote speaker on the topics of data science ethics, bias, machine learning, and technical education. Her writing has been read by nearly a million people and has made the front page of Hacker News 9×.


12:00pm12:30pm Tuesday, March 26, 2019
Location: 2024
Bradley Voytek (UC San Diego ), Jana Eggers (Nara Logics), Jonathan Foster (Microsoft), Brian Rieger (Labelbox), Rachel Thomas (
Average rating: *****
(5.00, 4 ratings)
Following the review of problematic technologies, we'll hold an interactive discussion with speakers and invited guests to dig deeper into neuroscience, analytics, and more. Read more.