Chen Yu Wang

Chen Yu Wang

Research Scientist @ Broad

About Chen Yu Wang

Chen Yu Wang is a Research Scientist at the Broad Institute of MIT and Harvard, specializing in chromatin biology and neuroscience research. He holds a Ph.D. in Molecular Biology from Harvard University and has a background in medicine, having worked in various research and medical roles.

Work at Broad Institute

Chen Yu Wang has been a Research Scientist at the Broad Institute of MIT and Harvard since 2021. In this role, he has contributed to research in the field of chromatin biology. Prior to this position, he worked as a Postdoctoral Researcher in the Laboratory of Dr. Gordon Fishell from 2019 to 2021. His work at the Broad Institute focuses on applying his expertise in bioinformatics and neuroscience to understand complex biological systems.

Education and Expertise

Chen Yu Wang completed his Doctor of Philosophy (Ph.D.) in Molecular Biology at Harvard University from 2010 to 2019. He also holds a Doctor of Medicine (M.D.) degree from National Taiwan University, where he studied Medicine from 2003 to 2009. His academic background provides a strong foundation in both molecular biology and medicine, with specific expertise in bioinformatics and the analysis of genomic data.

Background in Medical and Research Roles

Before his academic career, Chen Yu Wang served as a Medical Officer in the Republic of China Air Force from 2009 to 2010. He gained early research experience as an Undergraduate Research Fellow and later as an Intern Doctor at National Taiwan University Hospital from 2004 to 2009. Additionally, he worked as a Graduate Researcher at Harvard University from 2011 to 2019, where he was involved in research under Dr. Jeanne T. Lee.

Research Contributions

Chen Yu Wang has engaged in neuroscience research, focusing on the molecular mechanisms underlying brain function. His contributions to chromatin biology at the Broad Institute highlight his commitment to advancing the understanding of complex biological processes. His work integrates computational techniques to analyze genomic data, reflecting his expertise in bioinformatics.

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