projects
papers
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Panda: Self-distillation of Reusable Sensor-level Representations for High Energy Physics
An application of DINO-like self-distillation to unlabeled 3D images of particle interactions in a neutrino detector. We show the model learns to cleanly separate particles and interaction types in latent space, which reduced the number of labeled images required to reach the state-of-the-art for semantic segmentation by 1,000Ă—.arXiv, 2025 -
10 Million Particle Events: Enabling Foundation Models for Sparse 3D Inverse Problems
A proposal for a new dataset containing 10 million images of particle interactions with realistic detector response and multiple modalities.NeurIPS 2025 AI4Science Workshop (Spotlight), 2025 -
Particle trajectory representation learning with masked point modeling
We proposed a masked point modeling approach, PoLAr-MAE, for learning representations of particle trajectories from unlabeled LArTPC images.Machine Learning: Science and Technology, 2025
news
- Gave a talk on foundation models for neutrino physics at CHEP 2026. Slides
- Gave a lightning talk on foundation models for neutrino physics at the inaugural HAI + Stanford Data Science conference.
- Gave a talk on recent work on building a foundation model for neutrino physics at the NPML 2025. Slides
- Gave a talk on foundation models for neutrino physics at the Machine Learning for Fundamental Physics (ML4FP) summer school. Slides
- Gave a talk on on foundation models for scientific imaging at the 2025 APS Global Summit.
- I was awarded the HAI Graduate Fellowship.
- Gave a talk on differentiable surrogate modeling of optical propagation in LArTPCs at APS April.
- Won Stanford’s CS 229 Machine Learning’s Best Project Award for my rotation work on pileup synthesis and anomaly detection for the ATLAS experiment.
- I graduated from Penn with a bachelor’s and master’s in physics, and will continue my studies at Stanford.
- I’m extremely grateful to receive the Roy and Diana Vagelos Challenge Award (two years full tuition and fees) at Penn.
misc
chroma-cam
Visualize neutrino detectors in the browser with meshes
PoLArMAE Attention Viz
Visualize the learned attention maps from PoLArMAE
visualizations
miscellaneous visuals and tools I've made over the years