Sarah Hoffman leads AI and Machine Learning (ML) research for FCAT. In this role, she helps the firm understand trends in these technologies and their potential impact on Fidelity. Sarah has given numerous internal and external talks to both technical and non-technical audiences explaining ML and where it’s headed.
Sarah worked previously at FactSet, where she headed their Machine Learning and Language Technology Team. She also served as an Information Technology Analyst at Lehman Brothers. Sarah holds an MS from Columbia University in computer science with a focus on natural language processing. She also holds a BBA from Baruch College in computer information systems.