Tanya Roosta

Tanya is a Senior Science Manager at Amazon, specializing in generative AI for natural language processing (NLP) and information retrieval. She leads feature development across key areas of Amazon Shopping, driving innovations that enhance the customer experience. Concurrently, Tanya serves as a lecturer in the Department of Information Science at UC Berkeley.

Before joining Amazon, Tanya was the Lead Research Scientist at an early-stage fintech startup, where she developed cutting-edge solutions in efficient topic modeling, sentiment analysis, and social media trend detection using deep neural networks and advanced statistical methods. Her work was successfully deployed via AWS APIs, demonstrating impactful real-world applications.

In addition to her experience in high tech, Tanya has over nine years of experience in quantitative finance and investment banking. She held key roles as Director of Risk and Finance Analytics at Moody's, Quantitative Researcher at the Federal Reserve Bank of San Francisco’s Economic Department, and Quantitative Modeler for systematic portfolio management at Allianz.

Tanya holds a Ph.D. in Electrical Engineering, along with Master's degrees in Mathematical Finance and Statistics. Her research has been widely recognized, with publications in top-tier conferences and journals, as well as patents resulting from her industry work.