Sungtae An
Graduate Research Assistant
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolSungtae An is a PhD candidate and graduate research assistant at Georgia Tech with 11 years of experience applying deep learning, big data, and sensor-fusion techniques to healthcare and robotic perception problems. His work spans deep generative models for longitudinal electronic health records, adversarial robustness and privacy in medical ML, active learning for continuous EEG, and predictive/reinforcement approaches for personalized epilepsy treatment, often implemented at scale with Spark and Hadoop. Earlier research built fast bundle adjustment and SLAM improvements using GTSAM and PCG solvers, and he has applied graph optimization for autonomous driving at Bosch. He combines strong academic performance (PhD work in CS, 3.92 GPA) with hands-on systems experience across healthcare, robotics, and aerospace, and a pattern of translating advanced algorithms into practical, large-scale analyses. Notably, he iteratively improves label quality and model performance in clinical settings by co-training models and human experts, reflecting a pragmatic focus on deployable solutions.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, 3.92/4.0, Doctor of Philosophy (Ph.D.), Computer Science, 3.92/4.0 at Georgia Institute of TechnologyMaster of Science (M.S.), Electrical and Electronics Engineering, Master of Science (M.S.), Electrical and Electronics Engineering at KAISTBachelor of Science (B.S.), Electrical and Computer Engineering, Cum Laude, Bachelor of Science (B.S.), Electrical and Computer Engineering, Cum Laude at Hanyang University
English, Korean
Github Skills (14)
graph10
automatic-differentiation10
factors10
gtsam10
c-language10
cprogramming-language10
linear-algebra10
computer-vision9
data-structure9
machine-vision9
robotics9
data-structures9
algorithm9
algorithms9
Programming languages (3)
Github contributions (5)
ast0414/CSE6250BDH-LAB-DL
Sep 2017 - Oct 2019
GT CSE6250 Big Data Analytics for Healthcare - Deep Learning Lab Sessions
Contributions:6 commits, 15 pushes, 1 branch in 2 years 1 month
data-analyticsanalyticsdeep-learningmachine-learningbig-data
ast0414/lava
Feb 2019 - Aug 2019
Contributions:7 commits, 3 pushes, 1 branch in 6 months
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