Originally from Hangzhou, China, I did my B.S. and M.S. in Chemical Engineering at UCLA.

Currently I am a 4th year Ph.D. candidate (degree expected July 2023) in Prof. Philippe Sautet’s group at UCLA. My research focuses on using computational chemistry to understand surface processes, typically those used in semiconductor manufacturing processes. I am interested in developing accurate, efficient, and scalable simulation methods to probe the fabrication processes with atomistic resolution. To achieve this goal, I combine accurate electronic structure methods with cutting-edge machine learning models.

In addition to my Ph.D. work, I have extensive experience in computer vision for biomedical applications as a contract consultant. I designed and implemented the image processing algorithms in several advanced automated bacteria colony counters and cell fluorescent image analysis platforms. To achieve this goal, I use a combination of C++, python, MATLAB to implement the algorithms, and provide interfaces (e.g. in C# on Windows) to hide the implementation details.