I'm a senior research fellow at MIT Blueprint Labs working with Parag Pathak, focusing on the design and implementation of equitable assignment mechanisms in education. My research interests lie at the intersection of education, labor, and social impact, where I use tools from Economics, Machine Learning, and Algorithm Design to address systemic challenges and develop solutions that bridge theoretical insights with practical applications.
Previously, I interned as a Data Engineer at Tresata, where I worked on large-scale data analysis problems. I also conducted research with Dr. Mark Foley on the economic impacts of delayed graduation, a project inspired by COVID-19's effects on educational outcomes. I graduated from Davidson College with a background in Economics, Computer Science, and Mathematics.
Here is my CV.
You can explore my previous work in Machine Learning, Recommender Systems, and Econometrics on my Github Page.
Some papers I have worked on in the past.
I enjoy listening to all types of music, but I tend to mostly like instrumental tunes. To give you an idea, here's one of my favorite Spotify playlists!
I enjoy reading books at the intersection of economics, education, and social change. Some of my favorite works include
"Who Gets What — and Why" by Alvin Roth, a compelling exploration of how markets can be designed to better serve society. I'm also deeply influenced by
"Ghosts in the Schoolyard" by Eve L. Ewing, which provides crucial insights in how school closure policies reverberate through neighborhoods.
My favorite football club is Barcelona Football Club. I'm always a big fan of Messi. I also enjoy pickup soccer once a week with friends to test out my soccer skills. Besides Soccer, I occasionally enjoy a game of League with friends.
