Brian Wee
About Brian Wee
Brian Wee is an undergraduate researcher at the Sabeti Lab at Harvard University, where he focuses on computational epidemiology. He holds leadership positions in several organizations, including Co-President of the Harvard Undergraduate Global Health Forum and Vice President of the Harvard College Undergraduate Research Organization.
Work at Broad Institute
Brian Wee serves as an Undergraduate Researcher in the Sabeti Lab at the Broad Institute of MIT and Harvard. He has been involved in this role since 2020, focusing on computational epidemiology. His research emphasizes health patterns and the impact of COVID-19, contributing to the lab's ongoing projects and initiatives.
Leadership Roles at Harvard
Brian Wee holds multiple leadership positions at Harvard University. He has been Co-President of the Harvard Undergraduate Global Health Forum since 2019, where he engages in discussions about global health issues. Additionally, he serves as Vice President of the Harvard College Undergraduate Research Organization (HCURA) and the Harvard Premedical Society, where he focuses on diagnostic initiatives.
Founding Initiatives
Brian Wee founded the World Pre-Health Conference in 2020, creating a platform for pre-health students worldwide. He also established the Peak to Peak Science National Honor Society, serving as its President from 2017 to 2019. These initiatives reflect his commitment to fostering community and collaboration among students in health-related fields.
Educational Background
Brian Wee studied at Harvard University, earning a Bachelor of Arts in Chemical & Physical Biology and Government from 2019 to 2023. Prior to that, he completed his high school education at Peak to Peak Charter School, where he focused on Biomedical Sciences and graduated with a High School Diploma in 2019.
Research Experience
Brian Wee has extensive research experience, including internships at Harvard Medical School and Boston Children's Hospital. He participated in summer research programs in 2016, 2017, and 2018, gaining valuable insights into medical research and computational epidemiology under the guidance of established professionals in the field.