Principal Applied Scientist - Responsible AI at Microsoft Research
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I am an Applied Scientist at Microsoft Research working on AI evaluations and safety. My expertise spans mapping, measuring, and managing various generative AI risks - with a focus on natural language and multimodal AI services (built upon models like GPT-5). My time is shared between foundational research on AI evaluations and practical work on responsible AI technologies for product releases like M365 Copilot and Azure AI Foundry.
UC San Diego
Master's degree, Computer Science - Artificial Intelligence
N/A – Present
UC San Diego
Bachelor's Degree, Computer Science
N/A – Present
Microsoft
Principal Applied Scientist - Responsible AI at Microsoft Research
November 1, 2025 – Present
Microsoft
Senior Applied Scientist - Responsible AI at Microsoft Research
December 1, 2022 – November 1, 2025
Microsoft
Applied Scientist 2 - Responsible AI, MSAI
September 1, 2019 – December 1, 2022
University of California, San Diego
Student Researcher
January 1, 2016 – June 1, 2019
Cultural Fit Analysis
The candidate's experience is highly specialized in Responsible AI and Generative AI within a large corporate research setting. While this demonstrates deep expertise, the lack of diverse project types or experience outside of AI research might indicate a narrower cultural fit for roles requiring broader software engineering skills or diverse domain exposure. The target role 'Software Engineer' is broad, and the candidate's profile is very specific to AI/ML research.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit beyond the candidate's progression within Microsoft, which suggests strong performance and adaptability.