Megan Wei

I'm a Masters of Engineering student at MIT, advised by Professor Joshua Tenenbaum in the Computational Cognitive Science Group. Currently, I'm working on building compositional diffusion models to generate scenes with complex object relations and properties.

I completed my Bachelor of Science in Computer Science with a minor in Business Analytics at MIT. During my undergrad, I worked with Professor Antonio Torralba on building VirtualHome and Professor Joshua Tenenbaum on comparing large language models to humans on several reasoning tasks.

My main research goal is to bridge the gap between human and machine multi-modal reasoning and perception.

Research

Do Music Generation Models Encode Music Theory?
Megan Wei*, Michael Freeman*, Chris Donahue, Chen Sun
ISMIR, 2024
Paper / Website / Dataset / Code

The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs
Lance Ying, Katherine M. Collins, Megan Wei, Cedegao E. Zhang, Tan Zhi-Xuan, Adrian Weller, Joshua B. Tenenbaum, Lionel Wong
ICML Workshop on Theory of Mind in Communicating Agents, 2023
Paper

Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning tasks
Katherine M. Collins*, Catherine Wong*, Jiahai Feng, Megan Wei, Joshua B. Tenenbaum
CogSci, 2022
Paper / Website / Code

Initiatives

MITxHarvard Women in AI
YouTube / Twitter / LinkedIn
Co-President and Founding Team
Started and grew a group of now 700 MIT and Harvard undergrads to postdocs. Spearheaded new initiatives: interview series, paper reading sessions, mentorship, elementary to high school outreach, marketing, corporate sponsorships, and professional development.

Website template credits: John Barron