Internships

Teachings and Tutorials

  • AAAI Tutorial, Philadelphia, PA, USA, 2025
    • Topic: Physics-Inspired Geometric Pretraining for Molecule Representation
    • Tutorial website
  • AAAI Tutorial, Philadelphia, PA, USA, 2025
    • Topic: Multi-modal Foundation Model for Scientific Discovery: With Applications in Chemistry, Material, and Biology
    • Tutorial website
  • Teaching Assistant, 2021 Winter (Spring) Semester, HEC Montréal, Montréal, QC, Canada
    • MATH 80600A, Machine Learning II: Deep Learning and Applications
  • Teaching Assistant, 2016 Spring Semester, UW-Madison, Madison, UW, U.S.
    • CS 564, Database Management Systems: Design and Implementation

Academic and Community Services

  • Served as the main contributor to the following open-source GitHub repositories.
    • Geom3D: A platform for 3D geometric molecule discovery.
    • TorchDrug: A comprehensive platform for drug discovery (2D topology).
    • BioChemGNN_Dense: A smart and dense version of Graph Neural Networks, motivated to handle small-molecule representation (2D topology).
    • BioChemGNN: A smart and sparse version of Graph Neural Networks, motivated to handle small-molecule representation (2D topology). Note that this GNN is deterministic (without torch-scatter).
  • Served as program committee member/reviewer for the following conferences/workshops/journals:
  • Served as the organizer to the following workshops:

Awards and Honors

  • Director’s Reserve DDR Campaign Award, NERSC 2024
  • Travel Award, NeurIPS 2018
  • Travel Award, Midwest Biopharamceutical Statistics Workshop 2018
  • First Prize, Microsoft College Code Competition(MSFT3C) in year 2015, 2016.
  • Third Prize, 2015 ACM-ICPC North Central Regional.