Published multiple papers in top conferences such as NeurIPS, ICLR, and ICML; involved in organizing the 2nd UNCV at ICCV 2023 and the weekly Computational Statistics and Machine Learning (CSML) Reading Group at Imperial College London; served as a reviewer for several top conferences.
Research Experience
Currently a machine learning research scientist at Isomorphic Labs; previously worked at RIKEN AIP and ByteDance Research.
Education
PhD: Imperial College London, supervised by Yingzhen Li; MPhil and BSc (Hons) degrees: University of Cambridge (Machine Learning) and McMaster University (Mathematics), obtained in 2020 and 2019, respectively.
Background
Machine learning research scientist, focusing on AI for drug discovery. Research interests include deep sequence models (e.g., Transformers, HiPPOs, S4) and deep generative models.