Franziska Bell, Ph.D.

Director of Data Science, Platforms

Franziska Bell is the Head of Data Science Platforms at Uber, where she founded the Anomaly Detection, Forecasting Platform and Natural Language Platform teams. In addition, she leads the Data Science teams for Computer Vision, Strategic Finance, Experimentation, behavioral Science, Infrastructure, Data, Growth Platform and Customer Support.

Before Uber, Franziska was a Postdoc at Caltech where she developed a novel, highly accurate approximate quantum molecular dynamics theory to calculate chemical reactions for large, complex systems, such as enzymes. Franziska earned her Ph.D. in theoretical chemistry from UC Berkeley focusing on developing highly accurate, yet computationally efficient approaches which helped unravel the mechanism of non-silicon-based solar cells and properties of organic conductors.

Wednesday, October 2
9:40 am
10:10 am
Robertson Auditorium
Fran leads a team of 100 data scientists building use-case driven data science platforms at Uber. Her teams' platforms build on top of the low-level capabilities offered by Uber's Michelangelo to allow data scientists to rapidly deliver higher-level applications as varied as forecasting, anomaly detection, NLP/conversational AI, experimentation, segmentation, and more. Fran will join Sam on the TWIMLcon stage for a live podcast interview exploring how both low-level and higher-level ML platforms can drive data scientist and developer productivity.
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