TWIMLcon 2019


Photo: Franziska Bell

Franziska Bell

Director of Data Science, Platforms
Connect with Franziska

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.

Conference Sessions

Keynote Interview
TWIMLcon  2019
Franziska Bell, PHD leads a team of 100 data scientists building use-case-driven data science platforms at Uber, building on top of lower-level capabilities from Uber's Michelangelo. 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.