I received a Master’s in Public Health from the department of Population and Family Health at Columbia University Mailman School of Public Health.
My research area is on data-driven responses to humanitarian crises, using large-scale data to reduce adverse health outcomes among populations affected by conflict and natural disasters. Specifically, I wonder how machine learning and artificial intelligence techniques can be responsibly used in low-resourced settings for efficient crisis response, mobilization, and implementation. I like to critically think about statistical analysis, bias in models, and how to improve these models to better advance the interest of communities that are already marginalized by advancement in technology, including migrants and refugees.
Building on my strong foundation in humanitarianism and data science, I am currently working as a junior data analyst at the Center for the Study of Asian American Health at New York University, with Dr. Stella Yi. Prior to coming to Columbia University, I worked as a UX researcher at a tech start-up in Los Angeles and studied Science in Society (Philosophy and Biology) at Wesleyan University.
My important values are integrity, transparency, and generosity, which I try to uphold and live by everyday. My personal life goal is to be a positive influence in my community and uphold strong moral values.