Julia Kim

PhD student @ MIT ORC

Hi, I’m Julia! I’m a second-year PhD student at the MIT Operations Research Center, advised by Professor John Horton. My research interests include multimodal AI, automated research, and AI for financial decision-making. I’m currently working with John Horton and The Carlyle Group on AI agents that reconstruct and evaluate investment decisions using the information available at the time.

Before MIT, I studied mathematics at Cambridge and physics, mathematics, and statistics at the University of Toronto. I’ve also worked in The Trade Desk’s AI Lab. You can find more information in my CV.

Julia Kim

Research Highlights

I develop and evaluate AI systems for learning and decision-making. Here are some of my recent projects.

see what I’m working on
ⓘTwo excerpts from our original linear-regression lesson: residuals become squares, and their areas add to the sum of squared errors. Played at the original speed. Explore the public demonstration.
Manuscript in preparation, 2026

Personalized Learning with Generative AI: A Framework for Assessment-Driven Remediation Videos

Julia Kim, Dimitris Bertsimas

We combine reusable remediation videos with personalised visual annotations. Missed questions select the lesson; incorrect answers and optional tutoring dialogue select clarifications shown during playback, without changing the narration or video.

demoproject
a little catch-up ☕...

News + Updates

I’m working with Professor John Horton and The Carlyle Group on AI for investment decision-making.

milestone

I started my PhD at the MIT Operations Research Center!

milestone

Misc

  • I enjoy learning languages: I’m fluent in French and learning Turkish.

  • I’m interested in aesthetics, from the gym to skincare and beauty.

  • I also enjoy digital design from time to time.