Edwin Goh
Data Scientist
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolEdwin Goh is a data scientist and Georgia Tech PhD candidate with eight years of experience building high-performance simulation software and self-supervised ML systems for aerospace and Earth science applications. At JPL he led multi-investigator projects that cut labeling needs tenfold for Mars terrain segmentation, doubled inference throughput, and delivered a $1M NASA-funded foundation model for sea surface temperature reconstruction with 0.1°C accuracy. He combines hands-on ML research (contrastive and masked-image modeling, zero-shot evaluation) with systems engineering—scaling training to hundreds of CPUs/GPUs and deploying RL for Deep Space Network scheduling. Earlier roles at UPS and Georgia Tech honed his optimization, simulation, and teaching skills, and he has co-authored numerous grant proposals that secured ~$1.5M in funding. Colleagues describe him as a fast learner and creative problem-solver who translates complex physics and operations research problems into deployable data-driven solutions.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering, Doctor of Philosophy - PhD, Aerospace, Aeronautical and Astronautical Engineering at Georgia Institute of Technology
Japanese, Chinese, Malay, English
Github Skills (43)
reinforcement-learning10
optimization10
data-science9
parallel9
representation-learning9
pytorch9
java9
scaling9
llm9
python9
keyboard9
large-language-models9
machine-learning9
deep-learning9
hyperparameter-optimization9
Programming languages (4)
Github contributions (5)
edwinytgoh/LiME
Dec 2017 - May 2020
Contributions:87 commits, 2 pushes, 1 branch in 2 years 6 months
edwinytgoh/edwinytgoh.github.io
Feb 2022 - Nov 2024
Contributions:6 pushes, 1 branch in 2 years 10 months
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