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Kwonmoo Lee, Ph.D

Person: Assistant Professor of Surgery, Boston Children's Hospital, Harvard Medical School

Dr. Kwonmoo Lee is an expert in machine learning and cell biology, with a particular focus on how subcellular morphodynamic heterogeneity impacts cell motility in both healthy and pathological conditions. After earning his Ph.D. in physics from MIT, Dr. Lee went on to complete postdoctoral training...

Protocol for live cell image segmentation to profile cellular morphodynamics using MARS-Net

Publication: Journal Article

Jang, J., C. Hallinan, and K. Lee. 2022. “Protocol for Live Cell Image Segmentation to Profile Cellular Morphodynamics Using MARS-Net”. STAR Protocols 3: 101469.

Open Positions

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Students at Harvard and MIT Various biomedical AI projects are available for graudate, medical, and undergratudate students at Harvard or MIT. Please contact Dr. Kwonmoo Lee directly ( kwonmoo.lee@childrens.harvard.edu).

Daehyung Kim Ph.D.

Person: Research Fellow

Dr. Daehyung Kim earned his Ph.D. degree in Physics with single-molecule biophysics studies from Pohang University of Science and Technology, South Korea. He joined Lee Lab in Dec 2020. He focuses on applying deep learning to dissect the heterogeneity of cellular morphodynamics and mechanobiology...

Deep learning-based automated analysis of NK cell cytotoxicity in single cancer cell arrays

Publication: Journal Article

Moon, D., S. Kim, C. Wang, K. Lee, and J. Doh. 2024. “Deep Learning-Based Automated Analysis of NK Cell Cytotoxicity in Single Cancer Cell Arrays”. BioChip Journal 18.

Software

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PHet: Heterogeneity-preserving discriminative feature selection for subtype discovery Code, Reference Main developers: Abdur Rahman M. A. Basher and Caleb Hallinan FIGI-Net: Fine-Grained Forecasting of COVID-19 Trends Code, Reference Main developer: Tzu-Hsi Song MARS-Net: Deep learning-based...

Tzu-Hsi Song, Ph.D.

Person: Research Fellow

Dr. Tzu-Hsi Song earned his Ph.D.degree in Computer Science from University of Warwick, UK in 2017. Then, he was a postdoctoral fellow in Computer Science, University of Warwick and in the School of Dentistry, University of Birmingham, UK. He joined Lee Lab in March 2020 and he is developing a deep...

Probing Cellular Heterogeneity through Fuzzy Time Series Forecasting Models of Leading Edge Dynamics

Publication: Manuscript

Kim, Y., T. Song, H. J. Choi, and K. Lee. 2024. “Probing Cellular Heterogeneity through Fuzzy Time Series Forecasting Models of Leading Edge Dynamics”. Submitted.

Diffraction-Informed Deep Learning for Molecular-Specific Holograms of Breast Cancer Cells.

Publication: Journal Article

Song, Tzu-Hsi, Mengzhi Cao, Jouha Min, Hyungsoon Im and, Hakho Lee, and Kwonmoo Lee. 2025. “Diffraction-Informed Deep Learning for Molecular-Specific Holograms of Breast Cancer Cells.”. APL Bioengineering 9: 036107 .

Hyung Joon Kim, Ph.D.

Person: Senior Staff Scientist

Hyung Joon Kim was trained as a neuroscientist in Rusty Gage’s lab at the Salk Institute for Biological Studies after he earned a Ph.D. in materials science and engineering from the University of California at Irvine. His prior position was faculty at the University of Nebraska Medical Center. He...