Geun Gu
Assistant Professor at Korea Institute of Energy Technology(KENTECH)
South Jeolla, South Korea
Summary
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Senior🎓
Top SchoolGeun Gu is an Assistant Professor at KENTECH with a decade of experience at the intersection of computational chemical kinetics, mathematics, and machine learning. He earned a Ph.D. in Chemical Engineering from the University of Delaware and built a research trajectory from microfluidic fuel-cell optimization to machine-learning–driven catalysis and materials design during postdoctoral work at KAIST. His work blends first-principles modeling with data-driven methods to accelerate catalyst and biomass conversion discovery, reflecting deep expertise in both theory and applied computation. Based in South Jeolla, South Korea, he brings academic rigor to practical energy challenges and is known for translating complex kinetics into tractable ML models that guide experiments.
10 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Chemical Engineering, Doctor of Philosophy (Ph.D.), Chemical Engineering at University of DelawareUniversity of Illinois Urbana-Champaign
Korean, English
Github Skills (37)
principal-component-analysis10
simulation9
materials-informatics9
ase9
atomic9
cheminformatics8
gitlab8
toolbox8
bioinformatics7
rdkit7
science7
python7
genomics7
prediction6
binding5
Programming languages (4)
Github contributions (5)
VlachosGroup/lcnn
Aug 2019 - Sep 2021
Contributions:12 commits, 11 pushes, 1 branch in 2 years 1 month
kaist-amsg/LS-CGCNN-ens
Mar 2020 - Apr 2021
Labeled site representation and ensemble method for binding energy prediction
Contributions:14 commits, 4 PRs, 12 pushes in 1 year
representationpredictionmethodensembleenergy-prediction
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