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Seewon Choi

최시원

CIS PhD @ UPenn

Hi, I'm a third year PhD student in Computer and Information Science at the University of Pennsylvania, advised by Rajeev Alur.

My research aims to develop trustworthy AI models for real-world deployment, particularly in the healthcare domain. I work on neurosymbolic approaches that combine the strengths of neural networks and symbolic reasoning to improve robustness and interpretability. Currently, I am applying these methods to the early diagnosis of critical conditions, grounding them in clinical knowledge.

Previously, I received my Bachelor's degree from the University of Cambridge, where I worked on rep2rep with Mateja Jamnik.

Updates

[Dec 25] I will be presenting CTSketch @ NeurIPS 2025
[Dec 24] I will be presenting ISED @ NeurIPS 2024
[Jun 24] I will be attending PLDI 2024

Preprints

KardiaLM: A Foundation Model for ECG Comprehension

Neelay Velingker*, S Choi*, Mayank Keoliya*, Alaia Solko-Breslin*, Rajeev Alur, Mayur Naik, Eric Wong

Stable Prediction of Adverse Events in Medical Time-Series Data

S Choi*, Mayank Keoliya*, Rajeev Alur, Mayur Naik, Eric Wong

Publications

CTSketch: Compositional Tensor Sketching for Scalable Neurosymbolic Learning

S Choi*, Alaia Solko-Breslin*, Rajeev Alur, Eric Wong

NeurIPS 2025

Data Efficient Learning with Neural Programs

Alaia Solko-Breslin, S Choi, Ziyang Li, Neelay Velingker, Rajeev Alur, Mayur Naik, Eric Wong

NeurIPS 2024

Generation of Visual Representations for Multi-Modal Mathematical Knowledge

Lianlong Wu*, S Choi*, Daniel Raggi*, Aaron Stockdill, Grecia Garcia Garcia, Fiorenzo Colarusso, Peter C.H. Cheng, Mateja Jamnik

AAAI 2024 Demo