Tools

  • Several open source useful Github Repositories.
    • TorchDrug: A comprehensive platform for drug discovery.
    • BioChemGNN_Dense: A smart and dense version of Graph Neural Networks, motivated to handle small-molecule representation.
    • BioChemGNN: A smart and sparse version of Graph Neural Networks, motivated to handle small-molecule representation. Note that this GNN is deterministic (without torch-scatter).

Internships

  • ElementAI (ServiceNow), 2021.06 - 2022.01
  • IQVIA, 2019.06 - 2019.08
    • Advisor: Dr. Danica Cao
    • Multi-task Molecular Property Prediction in Drug Discovery.
  • Facebook, 2016.05 - 2019.08
    • Software Engineering Internship
    • With full-time return offer.
  • HCR Co, 2015.02 - 2015.05
    • Under the guidance of Chief Technical Director, Dr. Liang Ma.
    • Applied Bloom Filter for fast search among one billion items of data.
    • Utilized K-means, K-means++, bisecting K-means and Canopy K-means for comparison.
    • Compared the clustering validity by five common validity indices.
    • Presented the final results in data visualization by ECharts and Baidu Map.
    • Presentation slides can be found here

Teaching

  • Teaching Assistant, 2021 Winter (Spring) Semester, HEC Montréal
    • MATH 80600A, Machine Learning II: Deep Learning and Applications
  • Teaching Assistant, 2016 Spring Semester, UW-Madison
    • CS 564, Database Management Systems: Design and Implementation

Academic Service

Organized the following workshops:

Served as a program committee member/reviewer for the following conferences/workshops/journals:

Other

  • First Prize, Microsoft College Code Competition(MSFT3C) in year 2015, 2016.
  • Third Prize, 2015 ACM-ICPC North Central Regional.