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Photo: Franziska Bell

Franziska Bell

Director of Data Science, Platforms
Uber
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.

Podcast Episodes

Conference Sessions

Executive Summit
TWIMLcon  2021
One of the biggest challenges executives face is ensuring project success. Far too often precious resources are wasted on projects that fail to generate value, don't get off the ground, or are inadequately resourced. This keynote explores the reasons for these failures and best practices for a successful launch and deployment of ML & AI solutions. 
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.