Megan Shand
About Megan Shand
Megan Shand is a Computational Biologist at the Broad Institute of MIT and Harvard, where she has worked since 2019. She has a diverse background in the arts and public affairs, transitioning to computational biology after studying statistics at Harvard University.
Work at Broad Institute
Megan Shand has been employed at the Broad Institute of MIT and Harvard since 2019 as a Computational Biologist. Prior to this role, she served as an Associate Computational Biologist at the same institute from 2015 to 2019. During her time at Broad, she has contributed to various computational biology projects, leveraging her interdisciplinary background to enhance research initiatives.
Education and Expertise
Megan Shand possesses a diverse educational background. She studied at Carnegie Mellon University, where she earned a Bachelor of Humanities and Arts (BHA) with a focus on Music, English, and Psychology from 2006 to 2009. She furthered her education at the University of Washington, studying Statistics from 2013 to 2014. Megan completed her Master's Degree in Statistics at Harvard University from 2014 to 2015. This combination of studies underpins her expertise in computational biology.
Background in Arts and Public Affairs
Before transitioning to computational biology, Megan Shand worked in various roles within the arts and public affairs sectors. She held positions such as Publications and Web Coordinator at the Seattle Symphony, Audience Services Coordinator at Meydenbauer Center, and Public Affairs Associate at Pittsburgh Symphony Orchestra. Her experience also includes a marketing internship at Zeiterion Performing Arts Center and co-directing The Music Bus Tour.
Career Transition to Computational Biology
Megan Shand's career reflects a significant transition from the arts and public affairs to the field of computational biology. This shift highlights her unique interdisciplinary skill set, which combines her background in music and the humanities with her statistical training. Since joining the Broad Institute, she has applied her diverse experiences to contribute to the field of computational biology.