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JasonJiangs/README.md

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💻 Interests

  • Deep Learning Methods for Molecular Interactions
  • Large Language Model for Life Sciences
  • Computational Genomics and Systems Biology

I am a visiting researcher at the Westlake University, Hangzhou, China. Previously I worked at Stanford, U Florida, U Virginia, and Alibaba Cloud. I am working on deep learning and GenAI for biology and drug discovery, and explore how to discover and interpret new biology using computational models.

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  1. aristoteleo/tabula Public

    federated learning with tabular learning

    Jupyter Notebook 19 2

  2. zanglab/SICER2 Public

    Python 21 16

  3. SophieSarceau/SequenceDisplay-ML Public

    Official codebase for Sequence Display: a platform that integrates large-scale sequence–activity datasets with protein language models to map activity landscapes and identify high-performance prote…

    Python 3

  4. HNOX_Pred Public

    HNOXPred: a web tool for the prediction of gas sensing H-NOX proteins from amino acid sequence

    JavaScript

  5. caranha/Koudou Public

    Modular small community simulator

    Python 3 2

  6. linqicheng-xiao/gmx_mmpbsa_py Public

    A Python script employs the MMPBSA method to integrate GROMACS and APBS software, facilitating the calculation of binding free energy between proteins and small molecules.

    Python 1

158 contributions in the last year

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Activity overview

Contributed to aristoteleo/tabula, JasonJiangs/JasonJiangs, JasonJiangs/tabula and 1 other repository
Loading A graph representing JasonJiangs's contributions from April 07, 2024 to April 11, 2025. The contributions are 87% commits, 10% pull requests, 3% code review, 0% issues.

Contribution activity

April 2025

Created 1 commit in 1 repository
4 contributions in private repositories Apr 11
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