About
I am an interdisciplinary scholar studying the science of intelligence and how to make AI models more creative. I'm interested in:
- Developing AI methods and systems that exhibit creative behavior.
- Uncovering the fundamental, scientific principles of creativity governing minds and machines.
Previously, I was a visiting researcher at the Simons Institute for the Theory of Computing, Berkeley. I did my undergrad at the University of Illinois, Urbana-Champaign, where I studied theoretical computer science.
Recent News
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2/2 papers accepted at the ICML 2026 Workshop on Generative AI & Creativity.
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Received the Lambda AI Research Grant.
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🏆 Best Short Paper Award at ICCC 2025 for Transformational Creativity in Science: A Graphical Theory.
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Started as a visiting graduate researcher at the Simons Institute, UC Berkeley.
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Pivoted from ML theory to cognitive science.
Selected Publications
2026
CreativityNeuro: Steering Large Language Model Weights to Improve Divergent Thinking
Accepted at the ICML 2026 Workshop on Generative AI & Creativity. Under review, Third Conference on Language Modeling (COLM).
Do Semantic Distance Tests Actually Predict Creativity in Large Language Models?
Accepted at the ICML 2026 Workshop on Generative AI & Creativity. Under review, 40th Conference on Neural Information Processing Systems (NeurIPS).
2025
Transformational Creativity in Science: A Graphical Theory
Proceedings of the 16th International Conference on Computational Creativity (ICCC) — Best Short Paper Award
Spark: A System for Scientifically Creative Idea Generation
Proceedings of the 16th International Conference on Computational Creativity (ICCC)
2024
Undergraduate thesis, University of Illinois, Urbana-Champaign