Jie Shi

Publications

  • ML-Guided Engineering to Enhance Cell-Organelle Capacity for Multi-Enzyme Pathway Compartmentalization

      • Jie Shi
      • Jordan Baker
      • et al.
    • 2025
    • ACS Spring 2025
  • Integrating Molecular Dynamics Simulations and Machine Learning to Uncover Important Determinants of protein-protein Interactions

      • Tiffany Callahan
      • Kevin Cheng
      • et al.
    • 2025
    • ACS Spring 2025
  • A MACHINE LEARNING APPROACH FOR IDENTIFYING DETERMINANTS OF WNT PROTEIN-PROTEIN INTERACTIONS

      • Tiffany Callahan
      • Kevin Cheng
      • et al.
    • 2025
    • BPS 2025
  • Atomistic simulations and machine learning approaches to investigate bromoform interactions with cell membranes: Implications for seaweed-based methane emission reduction

      • Jie Shi
      • Kevin Cheng
      • et al.
    • 2024
    • ACS Fall 2024
  • Optimizing CAR T cell design using quantum convolutional neural networks

      • Sara Capponi
      • Kahn Rhrissorrakrai
      • et al.
    • 2024
    • ISMB 2024
  • INVESTIGATING BROMOFORM-MEMBRANE INTERACTIONS TO MITIGATE CLIMATE CHANGE USING ATOMISTIC SIMULATIONS

      • Sara Capponi
      • Jie Shi
    • 2023
    • BPS 2023
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Top collaborators

SC
Sara Capponi

Sara Capponi

JM
Joseph Morrone

Joseph Morrone

Research Staff Member - Healthcare & Life Sciences Research
FU
Filippo Utro

Filippo Utro

Senior Research Scientist
MT
Meltem Tolunay

Meltem Tolunay

Research Staff Member
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Work location

IBM Research - AlmadenSan Jose, CA USA

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Topics

  • Natural Language Processing
  • Science
  • Life Sciences
  • Exploratory Science
  • AI
  • Machine Learning

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