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, where I focus on applying AI for biology. My work centers on developing and interpreting deep learning models, with a particular emphasis on protein language models. I’m interested in exploring how protein structural dynamics can be incorporated into deep learning models and how to accurately predict protein fitness landscapes. I developed SeqDance and ESMDance, two protein language models trained on protein dynamics data. I explained the scaling behaviour of ESM2 and other models on fitness 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: Aug 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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