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Resume (English only)
Academic Achievements
Invited to MIT Media Lab's collaborative workshop on Benchmarks for Human Flourishing with AI (Oct 2025)
Presented two works at Stanford's Trust & Safety Conference (Sep 2025): 'Detecting Prosocial Communication in Game Text Chats' (with Activision) and 'Democratizing AI Auditing: BiasTestGPT'
Paper 'Tracing Human-like Traits in LLMs' accepted at ICML Workshop on Models of Human Feedback for AI Alignment (Jul 2025)
Two papers with Activision accepted in Jun 2025: one full paper at CHI Play 2025 and one at IEEE Access
Two papers at ML4H 2024 (Nov 2024), including 'Multi-Modal Self-Supervised Learning for Surgical Feedback Effectiveness Assessment' which received Best Proceedings Paper Award
Paper 'ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs' published at COLM 2024 (Oct 2024)
Multiple selected publications in top venues including Nature npj Digital Medicine, CHI Play, ML4H, and ICML Workshops
Research Experience
Currently AI Research Scientist at Cedars-Sinai
Former Postdoctoral Researcher at Caltech, mentored by Anima Anandkumar, Mike Alvarez, and Andrew Hung
Interned at Allen Institute for AI with Jonathan Bragg and Doug Downey
Interned at Microsoft Research Redmond with Saleema Amershi and Andrés Monroy-Hernández
Interned at Fuji-Xerox Palo Alto Research Lab with Daniel Avrahami