CV
Research CV for Yunsung Chung, covering longitudinal EHR modeling, wearable AI, medical imaging, and generative models.
Contact Information
| Name | Yunsung Chung |
| Professional Title | PhD Candidate in Computer Science |
| cys1102@gmail.com |
Professional Summary
Researcher in longitudinal EHR modeling, uncertainty-aware clinical AI, wearable biosignals, medical imaging, and clinically aligned generative models.
Experience
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2025 - 2025 Mountain View, CA, USA
Research Intern
Samsung Research America
Designed algorithms for predicting clinical biomarkers from large-scale wearable PPG data under sparse and noisy labels.
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2022 - present New Orleans, LA, USA
Research Assistant
TRIAD Lab, Tulane University
Lead projects on long-horizon EHR modeling, offline-RL and OPE benchmarking, synthetic medical data, cardiac imaging, and wearable signal modeling.
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2017 - 2019 Incheon, South Korea
Hardware Engineer
Airport Railroad Express
Education
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2022 - 2026 New Orleans, LA, USA
PhD
Tulane University
Computer Science
- {“Anticipated graduation”=>”December 2026”}
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2019 - 2021 Canberra, Australia
MS
The Australian National University
Computer Science
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2012 - 2018 Seoul, South Korea
BS
Dongguk University
Electronics, Information Communication Engineering
Publications
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2027 EHRDyn: A Benchmark for Offline Reinforcement Learning from EHRs with Complementary Simulators
Under review at KDD
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2026 Weighted Temporal Decay Loss for Learning Wearable PPG Data with Sparse Clinical Labels
ICASSP
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2026 Auditing Long-Horizon Patient Trajectory Modeling in EHR Foundation Model Benchmarks
Under review at NeurIPS
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2026 CRAFT: Clinical Reward-Aligned Finetuning for Medical Image Synthesis
Under review at NeurIPS
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2026 Intervention-Aware Clinical World Model for Post–Op Outcome Forecasting in Cardiology
MICCAI Workshop on Medical World Models (MWM) — Accepted
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2025 SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation
USENIX Security
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2025 SOFA: Deep Learning Framework for Simulating and Optimizing Atrial Fibrillation Ablation
MICCAI
Awards
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2016 FIRA RoboWorld Cup - 1st Place in Basketball
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2016 International Robot Contest - 2nd Place in Marathon
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2012 First-Class Academic Excellence Scholarship, Dongguk University
Skills
Machine Learning (Advanced): PyTorch, MONAI, diffusion models, synthetic data, LoRA, preference optimization
Medical AI (Advanced): Cardiac MRI, ECG/PPG modeling, biomarker prediction, privacy-utility analysis
Languages
Korean : Native
English : Fluent