Kwonmoo Lee, Ph.D., Assistant Professor of Surgery, Boston Children's Hospital, Harvard Medical School. Dr. Kwonmoo Lee was trained in Marc Kirschner’s lab at Harvard Medical School as a graduate student in MIT Physics Ph.D. program. He did his post-doctoral training as an NIH post-doctoral fellow in Gaudenz Danuser’s lab at Harvard Medical School. He held an assistant professor position in the Department of Biomedical Engineering at Worcester Polytechnic Institute. He joined Vascular Biology Program at Boston Children's Hospital and Department of Surgery at Harvard Medical School in 2020. He is focusing on developing machine learning methods for cell biology and mechanobiology. Particularly, he is interested in how subcellular morphodynamic heterogeneity governs cell motility in healthy and pathological conditions. Harvard Catalyst Profile BCH Profile
Kwonmoo Lee

Hyung Joon Kim, Ph. D., 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 has studied the critical role of stem cells in the brain and vasculature by manipulating hiPSCs in microfluidics. His research focuses on understanding the alterations in cellular dynamics from healthy to pathological conditions by integrating stem cell biology, live-cell imaging, and machine learning.

Tzu-Hsi Song, Ph.D., Research Fellow. Dr. Tzu-Hsi Song earned his 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 learning-based breast cancer diagnosis system using images from lensless digital inline holographic imaging systems. His research interest includes image processing, machine learning, and deep learning, and their applications for medical diagnosis. song
Daehyung Kim, Ph. D., 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. Also, he is working on analyzing morphodynamics of megakaryocytes using deep learning. kim
Abdurrahman Abul-Basher, Ph. D., Research Fellow. Dr. Abul-Basher is an expert in processing and analyzing metagenomic sequence data to reconstruct metabolic pathways (or subnetworks) and to discover the structure and diversity of microbial communities. He obtained his Ph.D. in Bioinformatics from the University of British Columbia (UBC), Canada. Prior to joining Lee Lab, he was a postdoctoral researcher at Hallam's Lab at Life Sciences Institute at UBC. He also worked at Canada's Michael Smith Genome Sciences Centre for more than two years to analyze large-scale PubMed articles using natural language processing methods. His primary research interests include metagenomic data analysis, graph and network mining, privacy-preserving healthcare informatics and human metagenome, understanding and modeling protein interactions to optimize drug discovery, and elucidating the cell phenotypic transition dynamics from live-cell images and high-dimensional gene expression data (e.g., transcriptomics and proteomics) across human tissues. Personal Website Abdurrahman
Caleb Hallinan, B.A., Research Assistant I. Caleb Hallinan obtained his bachelor’s degree in Statistics and Biology from the University of Virginia and joined Lee Lab in September 2021 as a research assistant. He is working on developing a cell-tracking algorithm for a deep learning-based segmentation pipeline for profiling cellular morphodynamics in live cell movies. caleb

Junbong Jang, B.S., Collaborating Graduate Student. Junbong Jang obtained his bachelor’s degree in Computer Science from Worcester Polytechnic Institute. Currently he is a master's student in the School of Artificial Intelligence at Korea Advanced Institute of Science and Technology. He is working on a deep learning-based tracking of subcellular events. Prior to that, he was a research assistant in Lee Lab and worked on deep learning-based segmentation pipeline for profiling cellular morphodynamics in live cell movies and deep learning-based object detection of follicular cells in fine needle aspiration samples. Personal Website


  Lab Alumni

  • 2021
    • Xiang Pan, M.S., Master Student (2018~2020), Research Assistant (2020~2021), Next Position: Ph.D. Student, Virginia Tech
    • Hee June Choi, Ph.D., Post-doctoral Fellow (2015~2021), Next Position: TBD
  • 2019
    • Yudong Yu, M. Eng, Master Student (2018~2019)
    • Chuangqi (Chauncey) Wang, Ph.D. Doctoral Student (2015~2019), Next Position: Postdoctoral Fellow, Lauffenburger Lab, MIT
    • Tessa Curtis, REU Student (2019), Current Position: Undergraduate Student at UNC Chapel Hill
    • Brian Westgate, Undergraduate/Master Student (2017~2019), Next Position: Engineer, Confluent Medical
    • Jamison LaRoche, Undergraduate/Master Student (2017~2019), Next Position: Engineer, National Grid
    • Doe Won Moon, Visiting Graduate Student (2018~2019), Next Position: Pohang University of Science and Technology
  • 2018
    • Moses Choi, Research Intern (2018), Next Position: Medical Student, St. George’s University School of Medicine
    • Joseph Tadros, Research Intern (2018), Next Position: Data Scientist, SDG Group 
    • Lucy Woodbury, REU Student (2018), Next Position: Undergraduate Student, University of Arkansas
    • Bolun Lin, M. Eng., Master Student (2017-2018), Next Position: Engineer, Google.
    • Bing Zhao, M. Eng., Master Student (2017-2018), Next Position: Engineer, Kulicke & Soffa
    • Ted Kostopoulos, M. S.,  Master Student(2017-2018), Next Position: Engineer, Helen of Troy
    • Xitong Zhang. M. S.  Master Student (2017-2018), Next Position: Ph.D. Student, Computer Science, Michigan State University
  • 2017
    • Sung-Jin Kim, Ph.D., Research Scientist (2016~2017), Next Position: Senior Research Fellow, AI Lab, LG Electronics
    • Aaron Choi, Research Assistant (2016~2017), Next Position: Research Assistant, Columbia University
    • Yenyu Chen, Undergraduate Student (2017), Next Position: Research Technician, Massachusetts General Hospital
  • 2015
    • Rachel Taitano, REU Student (2015),  Next Position: MD/PhD Student, West Virginia University
    • Ahmed Hakim, Amishi Vairagade, Sneha Shastry, Andrew Pic, Heather Stratica, Tori Claverie, Undergraduate Students (2015)