Chao Hou 侯超

Chao Hou 侯超

PhD of Bioinformatics

Columbia University

Biography

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

Interests
  • Protein language model
  • Protein dynamics and multi-conformation
  • Functional Analysis of Genetic Mutations
  • Drug designation and effect prediction
Education
  • Postdoc, 2023-

    Columbia University

  • PhD of Bioinformatics, 2020-2023

    Peking University

  • Bachelor of Medicine and Economics, 2015-2020

    Peking University

Projects

Representation learning of protein dynamics

Representation learning of protein dynamics

SeqDance-A Protein Language Model for Representing Protein Dynamic Properties

Bioinformatics tools for phase seperation

Bioinformatics tools for phase seperation

PhaSepDB, PhaSePred and MloDisDB

Bioinformatics tools for protein degradation

Bioinformatics tools for protein degradation

Degpred-predict degron via deep learning

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