Published multiple papers including 'Bering: joint cell segmentation and annotation for spatial transcriptomics with transferred graph embeddings' and presented research at several international conferences like NeurIPS 2023, ICML 2023, etc.
Research Experience
Worked as a machine learning engineering intern at ByteDance Inc., focusing on recommender systems under the supervision of Yitan Li.
Education
PhD student at Mila - Québec AI Institute, supervised by Prof. Jian Tang; B.S. in Computer Science from Fudan University, advised by Prof. Zhongzhi Zhang
Background
Research interests include machine learning for drug discovery, especially in protein science. Also interested in AI4Science and machine learning techniques such as deep generative models, geometric deep learning, and self-supervised learning.
Miscellany
Contact: zuobai.zhang [at] mila.quebec; Links to Github, Google Scholar, CV, and Twitter are available on his personal website.