Tanya has worked a senior scientist at Alexa AI organization for over 4 years, focusing on generative AI techniques for natural language processing problems, and leading feature development for conversational aspects of Alexa. Prior to Amazon, she worked at an early-stage Fintech startup as the lead research scientist. Her research focused on topic modeling, summarization and sentiment analysis, using deep neural networks, and implementation through AWS APIs. Tanya also has over 9 years of work experience in quantitative finance and investment banking, working as a director of risk and finance analytics at Moody’s, quantiative researcher at the Economic department of Federal Reserve Bank of San Francisco, and quantitative modeling for systematic portfolio management at Allianz. She holds a Ph.D. in Electrical Engineering, a Masters in Mathematical finance, and a Masters in Statistics. She has published in several conferences and journals and holds patents as part of her industry work.