About
About Me
I am a research scientist at Biohub. Broadly I am interested in generative models and am currently working on their applications to biology.
Previously I was a research scientist at Springtail.ai, where I worked on sample efficient reasoning algorithms. Before that, I graduated from the University of Chicago with degrees in Computational Applied Math, Statistics, and Economics. I also worked on reinforcement learning at the Toyota Technical Institute at Chicago.
I like to share research insights on my blog and occasionally post on X.
Research
Scaffold Diffusion: Sparse Multi-Category Voxel Structure Generation with Discrete Diffusion
Justin Jung
NeurIPS Structured Probabilistic Inference and Generative Modeling, 2025
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
David Yunis, Justin Jung, Falcon Dai, Matthew Walter
NeurIPS, 2024