📍 New York, NY

| LAST-UPDATED: 2026.04.27

<aside> <img src="/icons/chat-user_gray.svg" alt="/icons/chat-user_gray.svg" width="40px" /> Contacts

📞 Phone

+1 332-261-6055

+82 010-9741-4538

📧 Email

[email protected]

🔗 LinkedIn

www.linkedin.com/in/seoyoon730n9

🐈‍⬛ Github

https://github.com/w2yoon

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About Me

Hi, I'm Seoyoon Jeong, a Biomedical Engineering graduate student at Columbia University building multimodal AI systems that transform complex real-world data into scalable solutions. My work combines research-driven model design with practical engineering to create deployable AI technologies, with a strong interest in AI-driven approaches that advance healthcare innovation.

With a background in biomedical engineering, applied artificial intelligence, and mathematics, I approach problems with both analytical rigor and systems-level thinking. My work spans multimodal learning, computer vision, and graph-based modeling, focusing on building AI systems that are both scientifically grounded and robust for real-world deployment. I am particularly interested in developing data-driven technologies that can generate meaningful impact in healthcare and beyond.

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💻 Projects

Real-time Audience Attention Tracking & AI Presentation Feedback *02.2026*

Multimodal Regional-level BrainAge Prediction *10.2025 ~*

Offline First-Aid Advice Assistant *11.2025*

Multimodal Retinal AI for Future CVD Prediction *12.2024 ~*

HiDF - Large-scale Deepfake Dataset *03.2024 - 02.2025*

Deepfake Propagation Forecasting *10.2023 - 11.2025*

Machine Unlearning for AI Privacy Protection *09.2023 - 12.2023*

Seoul Location-Based Recommendation Web Service *07.2023 - 09.2023*

Smart Factory Product Quality Classification *03.2023*

Clinical NLP Pipeline for Problem List Summarization *02.2023 - 04. 2023*

📖 Publications

2026

2025