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Resume (English only)
Academic Achievements
Multiple papers accepted at top conferences: 3 at ICLR 2022, 5 at NeurIPS 2021, 4 at ICML 2021, and 3 at ICLR 2021
Co-authored paper “Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data” with Prof. Yue Li (McGill University) published in Nature Communications
Led the development of TorchDrug, a machine learning platform for drug discovery
Awarded a grant from IBM/Mila collaboration for “Pretraining molecular and protein representation with 3D structures” (Oct. 2021)
Served as Area Chair for NeurIPS 2021 and AKBC 2021
Delivered invited talks at ByteDance, Samsung, Tsinghua University, Yale University, University of Texas, and workshops at AAAI, ICLR, etc., on topics including geometric deep learning, graph representation learning, generative models, and knowledge graph reasoning