Welcome! I am a postdoc research fellow in the Computational Health Informatics Program (CHIP) at Harvard Medical School and Boston Children’s Hospital. I am lucky to receive mentorship from Prof. William La Cava and Prof. Maimuna (Maia) Majumder. My research, deeply rooted in computing for social good, focuses on the complexities of computational epidemics, emphasizing the inclusion of marginalized groups, and strives to enhance fair machine learning in healthcare, aiming to improve social welfare for all.
Prior to my research journey in Boston, I served as a postdoctoral research fellow in the Algorithms, Fairness, and Equity Program at the Mathematical Sciences Research Institute, UC Berkeley. Under the inspiring guidance of Prof. Paul Milgrom, Prof. Daryl DeFord, and Prof. Irene Lo, my work focused on developing efficient algorithms for equitable school zoning, aimed at reducing racial and wealth segregation in education. Additionally, I explored game-theoretic methods to address social dilemmas, blending mathematical rigor with a commitment to social justice.
I obtained my Ph.D. degree in Machine Learning in the School of Computer Science at Georgia Institute of Technology. I was very fortunate to be advised by Prof. Dana Randall. My work modeled and quantified biases and the emergent societal consequences, like segregation and the non-responsiveness in redistricting plans. It spanned various fields, and I learned a lot from my great collaborators in mathematics (Prof. Jonathan Mattingly), data science (Prof. Gregory Herschlag), urban planning (Prof. Catherine Ross), and political science (Prof. Joseph Bankoff), etc.
I obtained my master’s degree in autonomous systems & control from the University of Michigain, Ann Arbor, where I was very fortunate to be advised by Prof. Dennis Bernstein. I obtained my bachelor’s degree in flight vehicle design from Honors School, Harbin Institute of Technology. I was also an exchange student in mechanical engineering at Seoul National University for one year.