I’m a postdoc at Columbia University in the Shen Lab, focusing on computational biology and human genetics. Currently, my work centers on predicting the selection coefficients of missense mutations using state-of-the-art deep learning models. I developed SeqDance and ESMDance, two protein language models trained on protein dynamics data, and demonstrated the scaling performance of ESM2 on mutation effect prediction.
I earned my Ph.D. in Bioinformatics from Peking University in the Li Lab, where I built computational tools for studying phase separation and protein degradation.
I was born in Zhucheng, China, and I enjoy basketball, photography, and skiing.
Updated: May 2025
Postdoc, 2023-
Columbia University
PhD of Bioinformatics, 2020-2023
Peking University
Bachelor of Medicine and Economics, 2015-2020
Peking University
SeqDance-A Protein Language Model for Representing Protein Dynamic Properties
PhaSepDB, PhaSePred and MloDisDB
Degpred-predict degron via deep learning