Kwonmoo Lee
Assistant Professor
Biomedical Engineering
Worcester Polytechnic Institute
United States of America
Biography
BS Pohang University of Science and Technology, South Korea 1996 MS Pohang University of Science and Technology, South Korea 1998 PhD Massachusetts Institute of Technology 2010 Postdoc Harvard Medical School 2014 My research interest focuses on developing quantitative live cell imaging methodologies to characterize dynamics and coordination of molecular/cellular events related with cytoskeleton organization and dynamics. Using these methods, my lab studies how cells sense, react, and harness mechanic forces in physiological/pathophysiological processes such as brain development and cancer metastasis. Ultimately, I want to develop novel therapeutics based on our mechanobiological understanding of cellular processes. I enjoy working together with students in both classroom and laboratory settings. I am fully dedicated to fostering student development toward innovative leaders in biomedical engineering. Modern biology is changing rapidly from a qualitative to a quantitative discipline. Here in WPI Biomedical Engineering Department, I strive to emphasize the importance of quantitative thinking in biology, and motivate students to integrate biology and engineering and drive biological innovations by meticulous measurement and manipulation of biological systems. I will take full advantage of my expertise in cell biology, biophysics, and information technology to help them with finding their own successful carrier paths.
Research Interest
Quantitative Live Cell Imaging Machine Learning Cellular Mechanobiology Cancer Cell Migration
Publications
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K. Lee*, J. L. Gallop*, K. Rambani, and M. W. Kirschner, Self-Assembly of Filopodia-Like Structures on Supported Lipid Bilayers, Science, 329, 1341-1345, 2010 (*Equal Contribution)
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K. Lee and W. Sung, Effects of Nonequilibrium Fluctuations on Ionic Transport through Biomembranes, Physical Review E, 60, 4681-4686, 1999
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K. Lee, T. S. Chung, and J. H. Kim, Global Optimization of Clusters in Gene Expression Data of DNA Microarrays by Deterministic Annealing, Genomics and Informatics, 1, 20-25, 2003