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Franziska Bell is the Director of Platform Data Science at Uber, where she founded the Anomaly Detection, Forecasting Platform and Natural Language / Conversational AI Platform teams. In addition, she leads Data Science for Computer Vision, Sensing & Perception, Experimentation Platform, Finance and Infrastructure.
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.