jean fan

Jean Fan, PhD

Assistant Professor

Office: Wyman S253
Lab: The JEFworks Lab


Postdoctoral Fellowship, Chemistry & Chemical Biology, Physics, Harvard University, 2018-2020
PhD, Bioinformatics and Integrative Genomics, Harvard Medical School, 2018
BS, Biomedical Engineering, Applied Math & Statistics, Johns Hopkins University, 2013

Research Interests

My lab is interested in understanding the spatial-contextual and other regulatory mechanisms that shape cellular identity and heterogeneity. We are particularly interested in characterizing heterogeneity in the context of cancer and understanding how this heterogeneity shapes tumor progression, therapeutic resistance, and ultimately clinical outcomes. While heterogeneity within cellular systems has long been widely recognized, only recently have technological advances enabled measurements to be made on a single cell level. Applying traditional bulk analysis methods on single cells has met with varied degrees of success due to the high levels of technical as well as biological stochasticity and noise inherent in single cell measurements. Therefore, we develop machine learning and other statistical methods to harness the power of these new large-scale multi-omic single cell resolution data in addressing basic science and translational research questions. Our methods are available as open-source computational software and accessible to the broader scientific community.

Publications Search

From NCBI   |   Google Scholar Profile