Anna Jung is an Undergraduate Intern at IMSI Research Lab, Seoul National University, where she pursues her passion for medical imaging and artificial intelligence. She demonstrates a remarkable ability to engage with interdisciplinary research, bridging language, cognition, and computational methods in the context of biomedical AI.
At IMSI Lab, Anna stands out for her exceptional versatility — she excels at taking on diverse tasks across the research pipeline, from literature review and data curation to model experimentation and paper writing. Her work involves close coordination with Samsung Medical Center radiologists, and her cross-domain adaptability make her a valuable contributor to multiple concurrent research projects in medical image analysis.
Research Interests
- Medical Image Analysis
- Perineural Invasion Detection
- Diffusion Models
- 3D MRI Analysis
- Multi-task Deep Learning
Education
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Seoul National University(Mar. 2022 ~ expected Feb. 2027)
B.A. in English Language and Literature, Business Administration; B.S. in Statistics
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University of California, Berkeley(Aug. 2023 ~ Dec. 2023)
University of California Education Abroad Program
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Chinese University of Hong Kong(Jun. 2023 ~ Jul. 2023)
APRU Undergraduate Leaders' Program – Sustainable Cities Development
Professional Experience
- Undergraduate Intern at Seoul National University, ISMI Lab (Jan. 2026 ~ Present)
- Research Intern at Seoul National University, Graduate School of Data Science, CODE Lab (Jun. 2025 ~ Aug. 2025)
- Global Venture & Global Investment Intern at Mirae Asset Capital (Jan. 2025 ~ May 2025)
- Business Growth Strategy Intern at LINE Plus (Jun. 2024 ~ Aug. 2024)
- Marketing and Communications Intern at University of California, Berkeley, Robertson Center for Intercultural Leadership and Programs (Sep. 2023 ~ Dec. 2023)
Scholarship
- SK Group Korea Foundation for Advanced Studies NextGen Leader (2025 ~ 2026)
- Hanseong Nobel Scholar (2018 ~ 2020)
Recent Publications
- Conflict-Triggered Selective Re-Reading for MRI-Based Perineural Invasion Prediction, IEEE AICAS 2026 Under Review
- SpikeDS: Dual Sparsity Spikformer for Perineural Invasion Prediction in 3D MRI, IEEE AICAS 2026 Under Review
- Adaptive Routing and Local Context-Aware Token Selection in Diffusion Transformers for PNI Prediction, IEEE AICAS 2026 Under Review
- PANDA: Phase-Aware Diffusion Refinement and Expert Aggregation for PNI Detection, MICCAI 2026 Under Review
- MATHENA: Mamba-based Tooth Hierarchical Estimator and Evaluation Network, MICCAI 2026 Under Review
Key Achievements
- Contributing to 5 concurrent research projects spanning PNI detection, diffusion models, and medical image segmentation
- Demonstrated ability to rapidly adapt across diverse AI tasks and research domains
- Active contributor to the IMSI Lab's PNI research initiative