RegulatingAI Expert
Tanya G Roosta
Senior Science Manager, Amazon
San Jose, California, USA Speaks English, French
“Translating frontier AI risk into policy that legislators can actually use.”
About Tanya
Tanya is a senior science manager at Amazon, working on generative AI techniques for natural language processing problems, and leading feature development for conversational aspects of Amazon Shopping. 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, quantitative 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
Areas of Expertise
AI Auditing
Foundation model oversight, licensing regimes, and the design of enforceable regulation across US and EU frameworks.
AI Safety
Pre-deployment evaluation, red-teaming standards, and accountability structures for high-risk systems.
Data Security
Governance of autonomous systems, dual-use risk, and export-control implications for national security.
Experience
Director of AI Governance
Senior Policy Advisor
Research Scientist
Credentials & Affiliations
- Advisory committee, international AI safety standards body
- Fellow, National Center for Technology Policy
- PhD, Computer Science
- Member, IEEE Standards Association
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