Brian Heseung Kim is a current doctoral candidate at the University of Virginia’s Education Policy program, a 2021 National Academy of Education/Spencer Dissertation Fellow, and a Data Scientist (Applied Research Lead) at the Common Application. His primary research interests revolve around supporting students of diverse backgrounds through major decision-making junctures like the postsecondary application process and the post-graduation job application process. Having been both a public high school teacher and a counselor for aspiring first-gen students, Brian has seen just how many hurdles – formal and informal – students can face on the way to better opportunities.
That in mind, figuring out how to use thoughtful policy and interdisciplinary approaches to better understand — and then address — these structural inequalities is his main goal as a researcher. He leverages a variety of toolsets in these pursuits, from traditional econometric methods to machine learning and natural language processing techniques, and intends to continue exploring the intersection of education, data science, economics, and ethics in his future work.
His current projects examine the role of teacher recommendation letters in postsecondary access (with special focus on the potential for linguistic biases in the letters themselves), the influence of advising styles in a community college virtual advising intervention, and the disparities in labor market outcomes between community college graduates from high- and low-income families.
If you are interested in Brian’s work and would like to know more, feel free to get in touch (email/twitter/etc.) using the contact page or the links below.
Pictured above: 9th grade students on a geology field trip from Brian’s time teaching in Maine
Keywords: UVA Brian Kim brhkim Brian H Kim Brian H. Kim edpolicyworks nudge4 ed policy nlp