About Me💯

Hello! My name is Weiyue Li (李威岳). I am an incoming graduate student in Data Science at Harvard University. I graduated Summa Cum Laude from the University of California, San Diego (UCSD) with triple majors in B.S. in Data Science, B.S. in Applied Mathematics, and B.A. in Economics. I’m broadly interested in aligning vision and language, multimodality, and domain generalization in AI/ML applications, as well as in improving the reasoning capabilities and robustness of large language models.

I was fortunate to be advised by Professor Zhuowen Tu on a multimodality LLM project, Professor Hao Zhang on a prompt understanding and t2i benchmarking project, which received the Outstanding Capstone Project Award, Professor Mingxiong Huang on a healthcare deep learning project, and Professor Rayan Saab on a data analysis project. Prior to these, I had the privilege of working in Professor Terry Sejnowski’s Computational Neurobiology Laboratory (CNL) on a healthcare deep learning project, where Dr. Margot Wagner was my mentor.

I was also a 22-time teaching assistant at UCSD. I’ve supported 14 DS/ML courses across the CS, DS, CogSci, Econ, and Math departments, collaborating with 21 faculty members and aiding over 3,000 students in their academic journeys. I am primarily mentored by Suraj Rampure, Dr. Marina Langlois, and Professor Tauhidur Rahman. I received the 2024 Jeffrey B. Remmel Award for Academic Excellence for my academic performance and contribution to the data science community at UCSD.

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Schedule📅

My calendar is embeded below. All events are tentative and subject to change.