Franziska Bell is the Senior Director of Accelerated Materials Design and Discovery and Machine Assisted Cognition at Toyota Research Institute. Prior to Toyota Research Institute, Franziska was the Director of Data Science, Head of Platform Data Science at Uber, where she founded the Anomaly Detection, Forecasting Platform and Natural Language Platform teams. Franziska carried out her 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.
Please join us virtually for a Women in Unified Data Analytics Panel Discussion at Spark + AI Summit and hear from female leaders from ShopRunner, Comcast and Toyota Research Institute for a panel discussion. Following the discussion, there will be an interactive Q&A session with the speakers. Come hear how these leaders in data + AI unite and grow their teams of data scientists, analysts and engineers to drive change in their respective industries. The session will be moderated by Caryl Yuhas, Sr. Field Engineering Manager at Databricks.
Ali Vanderveld, Director of Data Science, ShopRunner
Franziska Bell, Ph.D., Senior Director, Machine Assisted Cognition and Accelerated Materials Design and Discovery at the Toyota Research Institute
Rama Assaf-Smith, Director, Eng. Ops, Analytics at Comcast