Mark Chaffin
About Mark Chaffin
Mark Chaffin is a Senior Computational Associate at the Broad Institute of MIT and Harvard, where he has worked since 2019. He specializes in computational biology with a focus on cardiovascular genetics and has contributed to various genetic research projects.
Work at Broad Institute
Mark Chaffin has been employed at the Broad Institute of MIT and Harvard since 2019, currently holding the position of Senior Computational Associate. In this role, he focuses on computational biology, particularly in the area of cardiovascular genetics. Prior to his current position, he served as an Associate Computational Biologist at the same institute from 2016 to 2019. During his tenure, he contributed to research on the genetic basis of cardiovascular disease and participated in collaborative projects involving genetic research.
Education and Expertise
Mark Chaffin earned a Master of Science (M.S.) in Computational Biology and Quantitative Genetics from Harvard T.H. Chan School of Public Health, studying from 2014 to 2016. He also holds a Bachelor's degree in Biology and Mathematical Sciences with a concentration in Statistics from Colby College, where he studied from 2008 to 2012. His academic background provides a strong foundation for his expertise in computational biology, particularly in cardiovascular genetics.
Previous Work Experience
Before joining the Broad Institute, Mark Chaffin worked at The Center for Effective Philanthropy as a Junior Research Analyst from 2012 to 2013 and later as a Senior Research Analyst from 2013 to 2014. He also gained experience as a Teaching Assistant at Harvard T.H. Chan School of Public Health for one month in 2015. Additionally, he participated in a Research Experience for Undergraduates (REU) program at Bigelow Laboratory for Ocean Sciences in 2011.
Research Contributions
At the Broad Institute, Mark Chaffin has contributed to significant research focused on the genetic basis of cardiovascular disease. His work involves applying computational biology techniques to understand genetic factors that influence cardiovascular health. This research is part of collaborative projects at the institute that aim to advance knowledge in genetic research and its implications for public health.