The SM2 80 Credit Master of Science program has three program assistants that are also current students who have a range of responsibilities pertaining to the degree program. They help host current student events, welcome sessions for new students, and are overall a great resource to utilize when it comes to understanding the student perspective on the degree program. If you are interested in speaking with a current SM2 student Program Assistant please email email@example.com.
2021-2022 SM2 80 Credit Master of Science Program Assistants
Flora Chang is a second-year Master of Science student in Epidemiology, concentrating in Clinical Epidemiology at the Harvard T.H. Chan School of Public Health. Prior to graduate school, she graduated from Wake Forest University and worked at a scientific consulting firm, focusing on clinical outcome assessments and endpoint strategy. At Harvard, she works with Dr. Pamela Rist, researching stroke and migraine. Outside of school, she enjoys traveling, loves to eat hot pot, and enjoys attending music festivals.
Colleen McGrath is a second-year SM2 Epidemiology student. She is concentrating in Cancer Epidemiology and Cancer Prevention. Her research interests are centered upon lifestyle factors, such as diet or exercise, and cancer survivorship as well as psychosocial outcomes among cancer survivors. In addition to her role as a Program Assistant, Colleen works as a Graduate Research Assistant with Dr. Lorelei Mucci working on several analyses and review studies, and is also a Teaching Fellow in the Epidemiology department. Outside of academics, Colleen spends her time exploring New England, hiking, and playing with her cat. Feel free to reach out with any questions about the program, research, or anything!
Shae Gantt is a second-year Master of Science student in Epidemiology, focusing on Infectious Disease at Harvard T.H. Chan School of Public Health. She graduated from the University of South Carolina Beaufort with a B.S. in Mathematics and a minor in Computer Science. She has researched mathematical modeling of disease dynamics and is interested in modeling global infectious diseases that primarily affect vulnerable populations. Her thesis work concentrates on quantifying the true effects of COVID-19 throughout African nations, utilizing both traditional and digital epidemiological data sources.