Research Fellow · Computational Biology

Generative AI for drug design and single-cell biology.

I develop machine learning methods for high-throughput drug discovery, with a focus on de novo molecular design, biological activity prediction, drug-target interaction annotation, and single-cell omics generation.

I am a Research Fellow in Prof. Luca Pinello's group at Massachusetts General Hospital and Harvard Medical School. I received my PhD in Computer Science from City University of Hong Kong, advised by Prof. Ka-Chun Wong, and was a visiting scholar with Prof. Manolis Kellis at MIT and Prof. Marinka Zitnik at Harvard.

Cell 2025

Single-cell multiregion epigenomic rewiring in Alzheimer's disease progression and cognitive resilience

Collaborative work on disease progression, cognitive resilience, and single-cell epigenomic regulation.

NeurIPS 2024

A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis

A generative framework for chromatin accessibility data, developed during my visiting scholar work with the Kellis Lab.

Nature Communications 2024

A dual diffusion model enables 3D binding bioactive molecule generation and lead optimization

Target-pocket-conditioned molecular generation for structure-aware lead optimization.