I'm a 1st year PhD student in Quantitative Methods at Purdue University, advised by Tongseok Lim.
I like to think about problems involving higher-order interactions in networks and randomness on graphs, with the goal of applications in business, engineering, and AI.
My undergrad was also at Purdue, where I majored in Data Science, Mathematics, and Statistics and worked at the Composites Manufacturing & Simulation Center with Eduardo Barocio and Akshay Jacob Thomas, learning about physics-informed machine learning and simulation optimization for additive manufacturing.
I was born in South Korea, grew up in Singapore, and now live in Indiana.
CV · Google Scholar · X
Kil, J., Thomas, A. J., Barocio, E., & Bilionis, I. (2025). Physics-Informed Neural Networks to Accelerate Heat Transfer Predictions in Additive Manufacturing. SAMPE 2025 Conference & Exhibition, 1117–1130. https://doi.org/10.33599/nasampe/s.25.0137 [Paper] [Slides]
Kil, J., Thomas, A. J., Barocio, E., & Bilionis, I. (2026). Physics-Informed Neural Networks for 3D Heat Transfer Prediction in Additive Manufacturing. Purdue AI Research Showcase. [Poster]
Kil, J. (2023). Predicting Shape Change Compensation of Composite Printed Tooling. Purdue Fall Expo. [Poster]
I don't consider myself an avid reader. In fact, it's rare to find books I read completely from beginning to end. The books here are among the few that I read more than 70 percent of, that I am able to retain some info from and still refer back to from time to time, and that I am able to talk to someone about the content of the book. Reading was most active in 2021–2022 when I was in the Korean army. It was an amazing time to open my eyes to maths and philosophy.
I spend most of my listening time on classical, like Elgar's cello concerto, Saint-Saëns, and Chopin's études. I liked rock more in middle and high school, when I would try to play songs by Bon Jovi and Radiohead. These days I am increasingly listening to and discovering instrumentals and soundtracks. My all-time favourite soundtrack is The Cloud Atlas Sextet.
Across genres, I keep being drawn to something unhurried, usually with a piano at its centre, that opens with grandness and builds until it feels much larger than where it began.
I used to make some myself when I was more passionate. A few tracks are still on SoundCloud.
This is a collection of pieces that I love, that I share with people around me, and that shaped me.