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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...

A machine learning pipeline revealing heterogeneous responses to drug perturbations on vascular smooth muscle cell spheroid morphology and formation.

Publication: Journal Article

Vaidyanathan, Kalyanaraman, Chuangqi Wang, Amanda Krajnik, Yudong Yu, Moses Choi, Bolun Lin, Junbong Jang, et al. 2021. “A Machine Learning Pipeline Revealing Heterogeneous Responses to Drug Perturbations on Vascular Smooth Muscle Cell Spheroid Morphology and Formation.”. Scientific Reports 11 (1): 23285.

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.

Lee Laboratory at Boston Children's Hospital

At the Lee Laboratory (PI: Kwonmoo Lee), we're on a mission to unravel the complex molecular and cellular dynamics happening inside living cells. To do this, we're combining the power of AI/machine learning with advanced live cell imaging techniques. By analyzing the phenotypic heterogeneity of cellular morphodynamics and motility under both healthy and pathophysiological conditions, we hope to unlock new insights into how cells function in the body.

Research

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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...

[Sample] SQI gallery contest

News: June 05, 2020

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[Sample] Inaugural Collaborative Research Catalyst Award

News: June 02, 2020

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Ion transport and channel transition in biomembranes

Publication: Journal Article

Lee, Kwonmoo, and Wokyung Sung. 2002. “Ion Transport and Channel Transition in Biomembranes”. Physica A: Statistical Mechanics and Its Applications 315 (1): 79-97.