Principal investigator
Donghoon Lee, PhD
Computational biologist. Method developer. Mentor.
Research & perspective
Decoding disease
at cellular resolution.
Donghoon Lee is an Assistant Professor of Psychiatry and of Genetics and Genomic Sciences at the Icahn School of Medicine at Mount Sinai. He directs the Single Cell Neurogenomics Group in the Center for Disease Neurogenomics. His group develops computational and machine learning methods for population-scale single-cell genomics and uses them to find the cell types, genes and regulatory programs behind neurodegenerative and neuropsychiatric disorders.
He is first and co-corresponding author of the PsychAD cross-disorder atlas (Nature, 2026), a single-nucleus map of 6.3 million nuclei from 1,494 donors, and of FreshMG (Nature Genetics, 2026), an atlas of human microglia and perivascular macrophages in aging and Alzheimer's disease. Both papers were cover stories in September 2026, and he made the Nature Genetics cover image himself.
He trained in computational biology with Mark Gerstein at Yale (PhD, 2019). There he built STARRPeaker for ENCODE, developed ESPRNN for splicing prediction and contributed to the ENCODE and Pan-Cancer Analysis of Whole Genomes (PCAWG) consortia. Before graduate school he was a senior software engineer at the National Center for Biotechnology Information and a scientist at the National Cancer Center in Korea. He holds BS and MS degrees in biomedical engineering from Washington University in St. Louis.
September 2026
Two cover papers. A shared scientific vision.
First and co-corresponding author of the PsychAD flagship in Nature and FreshMG in Nature Genetics.
Explore the cover storiesExperience & education
From software
to cellular science.
- 2020–now
Assistant Professor, Psychiatry and Genetics & Genomic Sciences
Icahn School of Medicine at Mount Sinai
Director, Single Cell Neurogenomics Group, Center for Disease Neurogenomics
- 2019–2020
Postdoctoral Associate
Yale University (Gerstein Lab)
- 2014–2019
PhD, Computational Biology & Bioinformatics
Yale University (Gerstein Lab)
Thesis: Leveraging functional genomic data: modeling transcriptional dynamics and interpreting disease genomes
- 2011–2014
Scientist, Cancer Genomics Branch
National Cancer Center, Korea
- 2007–2011
Senior Software Engineer
National Center for Biotechnology Information (NCBI)
- 2002–2007
BS and MS, Biomedical Engineering
Washington University in St. Louis
Research support
Funding
- R01AG082185 (NIH/NIA), 2023–2028. The adaptive-innate immune interactome across multiple tissues in Alzheimer's disease. Multiple PI.
The PsychAD project is supported by NIH/NIA R01AG067025 (PI: Panos Roussos).
Mentorship in practice
Trainee-led science
- Tereza Clarence (now Instructor): first and co-corresponding author, Nature Genetics 2025
- Christian Porras and Collin Spencer (former graduate students): co-first authors, FreshMG, Nature Genetics 2026
- Collin Spencer: first author, cognitive resilience preprint, 2026
- Nicolas Masse (computational biologist, 2023–2025): co-first author, PsychAD flagship, Nature 2026; now at Deep Genomics
Selected work
Research contributions
-
Single-cell atlas of transcriptomic vulnerability across brain disorders
-
Plasticity of human microglia and brain perivascular macrophages in aging and Alzheimer’s disease
-
Population-scale cross-disorder atlas of the human prefrontal cortex at single-cell resolution
Paper
doi:10.1038/s41597-025-04687-5