About Me

I am Tianyou Li (李天佑).

Currently, I am a Research Assistant at Cornell University. I work with Prof. David Bindel, Dr. Nate Cira, and Dr. Jingjie Yeo on structure-aware Gaussian Processes and Bayesian Optimization with applications in complex scientific and engineering systems.

I received my M.Eng. degree from Cornell University, where I was advised by Prof. Peter Doerschuk on machine learning for LNP characterization. Prior to that, I obtained my B.Eng. degrees from the University of Liverpool and Xi’an Jiaotong-Liverpool University. During my undergraduate studies, I studied NFC security with Prof. Junqing Zhang and neuromorphic computing with Prof. Chun Zhao.

I am always open to academic discussions and potential collaborations. Please feel free to reach out to me at tl899 [at] cornell.edu.

Research Interests

Bayesian Optimization & Design of Experiments
Gaussian Processes & Kernel Methods
Scientific Machine Learning
Autonomous Experimentation

News and Updates

Dec 2025: My personal website is officially online.
May 2024: I graduated from Cornell University with an M.Eng. degree in ECE.
Jul 2024: I received my B.Eng. degree from the University of Liverpool with First Class Honours.
Dec 2023: A new paper on perovskite-based neuromorphic computing was accepted by Nano Energy (IF: 16.8).