Hesam Dashti
About Hesam Dashti
Hesam Dashti is a Senior Computational Scientist at the Broad Institute of MIT and Harvard and an Instructor in Medicine at Harvard Medical School, both roles he has held since 2020. He has extensive experience in computational science and biochemistry, having worked at various prestigious institutions including Brigham and Women's Hospital and the University of Wisconsin-Madison.
Work at Broad Institute
Hesam Dashti has been serving as a Senior Computational Scientist at the Broad Institute of MIT and Harvard since 2020. In this role, he engages in advanced computational research, contributing to various projects that align with the institute's mission of improving human health through genomics and biomedical research.
Current Position at Harvard Medical School
Since 2020, Hesam Dashti has also held the position of Instructor in Medicine at Harvard Medical School. This role involves teaching and mentoring students, as well as conducting research in the field of medicine, further enhancing his contributions to the academic community in Boston, Massachusetts.
Previous Research Experience
Prior to his current roles, Hesam Dashti worked at the University of Wisconsin-Madison as a Postdoctoral Research Associate from 2016 to 2018 in the Department of Biochemistry & NMRFAM. He also served as a Postdoctoral Research Fellow at Brigham and Women's Hospital from 2018 to 2020, where he focused on research initiatives in a clinical setting.
Educational Background
Hesam Dashti earned a Master of Science degree from the University of Tehran. His educational background laid the foundation for his extensive research career in computational science and biochemistry.
Early Career and Research Roles
Hesam Dashti began his research career at the University of Wisconsin-Madison, where he worked as a Graduate Research Assistant in the Department of Biochemistry from 2012 to 2015. He also held a position as a Research Scientist at UNINOVA - Instituto de Desenvolvimento de Novas Tecnologias in 2009. His early experiences contributed to his expertise in computational methods and biochemistry.