Generative therapeutics
Molecular and target-aware design for therapeutic discovery.
About
Lei Huang
I am a Research Fellow at Massachusetts General Hospital and Harvard Medical School, working in Prof. Luca Pinello's group. My work sits at the intersection of artificial intelligence, therapeutic discovery, and computational biology.
I received my PhD in Computer Science from City University of Hong Kong, advised by Prof. Ka-Chun Wong. I was previously a visiting scholar with Prof. Manolis Kellis at MIT and Prof. Marinka Zitnik at Harvard.
Research
Building AI for programmable biology.
My long-term goal is to develop AI systems that make biology more computable, predictable, and actionable. I am particularly interested in generative and foundation models for molecular design and cellular systems, as well as emerging agentic approaches for scientific discovery.
Computational cell models
Modeling cellular state, regulation, and perturbation from single-cell and multi-omic data.
Agentic AI for science
Exploring systems that connect biological hypotheses, data, and design decisions.
News
Recent updates.
Our Alzheimer's single-cell epigenomics paper is published in Cell.
Single-cell multiregion epigenomic rewiring in Alzheimer's disease progression and cognitive resilience. Paper
Started as a Research Fellow at MGH / Harvard Medical School.
Joined Prof. Luca Pinello's group to work on generative models for proteins, DNA, and biological element design.
Our single-cell ATAC-seq diffusion model is accepted at NeurIPS 2024.
A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis. Paper
Recent Work
Recent and representative publications.
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.
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.