researcher · uvm

Jay Hwasung
Jung.

I'm a PhD researcher at the University of Vermont, working with Prof. Safwan Wshah in the Vermont AI Lab. My work spans generative models for therapeutic peptide and protein design and deep learning for medical imaging — tied together by an interest in agentic AI that carries discovery from benchmark to bench to bedside.

→ scholar → github → linkedin → email
Jay Hwasung Jung
J

Research

03 / focus areas
01

Generative Biomolecular Design

Generative models for therapeutic peptide and protein design — expanding the chemical vocabulary to non-canonical residues, with candidates validated in the wet lab.

02

Agentic AI

Multi-agent systems that plan and execute end-to-end scientific and clinical workflows across generation, screening, and verification.

03

Medical Imaging

Autonomous C-arm positioning, skeletal landmark localization, and uncertainty-aware (conformal) prediction for fluoroscopy-guided neurointervention.

Selected Publications

05 / selected
FIG · 01
ICML GENBIO WORKSHOP·2026·under review

Agentic Discovery of Non-Canonical Antimicrobial Peptides with AMPGAN v3

J. H. Jung, X. Zhang, S. Song, et al.

ICML 2026 Workshop on Generative and Agentic AI for Biology (GenBio)

[ openreview ] [ code ]
FIG · 02
IPCAI · JOURNAL·2026

Autonomous Skeletal Landmark Localization toward Agentic C-arm Control

J. H. Jung, A. Arrabi, J. Luo, S. Raymond, S. Wshah

Information Processing in Computer-Assisted Interventions (IPCAI); International Journal of Computer Assisted Radiology and Surgery

[ paper ] [ code ]
FIG · 03
ICCV WORKSHOP · APAH·2025

Automated C-Arm Positioning via Conformal Landmark Localization

A. Arrabi, J. H. Jung, J. Luo, N. Franssen, S. B. Raymond, S. Wshah

ICCV 2025 Workshop on Advanced Perception for Autonomous Healthcare (APAH)

[ paper ] [ code ]
FIG · 04
JNIS · ABSTRACT·2025

Deep Learning Model Predicts Biplane Trajectory from Pelvis to the Head

A. Kashkoush, A. Arrabi, J. Jung, N. Franssen, S. Wshah, S. Raymond

Journal of NeuroInterventional Surgery, 17 (Suppl 1), A193–A194

[ abstract ]
FIG · 05
IEEE ISBI·2025

C-Arm Guidance: A Self-Supervised Approach to Automated Positioning During Stroke Thrombectomy

A. Arrabi*, J. Jung*, J. Le, A. Nguyen, J. Reed, E. Stahl, N. Franssen, S. Raymond, S. Wshah

* equal contribution

IEEE 22nd International Symposium on Biomedical Imaging (ISBI)

[ paper ] [ code ]

Recent

timeline
2026 · 05
Submitted Agentic Discovery of Non-Canonical Antimicrobial Peptides with AMPGAN v3 to the ICML 2026 Workshop on Generative and Agentic AI for Biology.
2026 · 04
Our paper Autonomous Skeletal Landmark Localization toward Agentic C-arm Control is accepted at IPCAI 2026 (International Journal of Computer Assisted Radiology and Surgery).
2025 · 10
Automated C-Arm Positioning via Conformal Landmark Localization was presented at the ICCV 2025 APAH Workshop.
2025 · 04
Presented our self-supervised C-arm guidance work at IEEE ISBI 2025.