Sangwon Jeong
PHD Student at Vanderbilt University
Nashville Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolSangwon Jeong is a PhD student in Computer Science at Vanderbilt University researching how to make the latent spaces of multi-modal generative models more accessible and intuitive for both experts and casual users. His work focuses on understanding and manipulating semantic concepts inside these latent spaces through interactive visualization and user feedback, leveraging variational autoencoders, GANs, diffusion models, and text-guided or foundation-model-based methods. He applies human-computer interaction principles to domains like image synthesis, publishing work in top-tier conferences and journals. He broadened his practical experience with an eight-month computing internship at Lawrence Livermore National Laboratory in 2023, where he worked on ML approaches to concept discovery in latent spaces for materials science and related fields. With an MS in Computer Science from Vanderbilt and a BA in Business Administration and Finance from Seokyeong University, he combines rigorous technical training with interdisciplinary perspectives, and is based in the Nashville area.
8 years of coding experience
Vanderbilt University
Github Skills (45)
stylegan10
image-synthesis9
dcgan9
generative-adversarial-network9
image-quality9
generative-models9
generative-model9
python8
deep-learning8
gpu8
machine-learning8
stock-analysis7
mechanical-turk7
cyclegan6
neural-network6
Programming languages (3)
Github contributions (5)
swj0418/Algorithm-DataStructure-Java
May 2018 - Feb 2024
Contributions:4 pushes, 1 branch in 5 years 10 months
swj0418/DiffDVR
Mar 2024 - Apr 2024
Contributions:661 pushes in 19 days
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