Doo Kim
Scientist at Pacific Northwest National Laboratory - PNNL
Richland, Washington, United States
Summary
👤
Senior🎓
Top SchoolDoo Kim is a scientist with 11 years of experience at the intersection of machine learning, protein design, and structural biology, currently leading protein design and cryo-EM work at Pacific Northwest National Laboratory. He combines deep computational expertise from roles at Los Alamos and industry experience building drug-discovery platforms to automate simulations, database-driven ADMET workflows, and predictive cheminformatics models. His PhD in Biophysics and background in cheminformatics enable him to bridge experimental characterization techniques (cryo-EM, SAXS, SHAPE) with automated molecular dynamics and model-driven design. Notably, he has applied automation to cryo-EM map fitting and established pipelines for IC50 calculation and toxicity prediction, reflecting a practical focus on reproducible, high-throughput science. Based in Richland, Washington, he brings a rare blend of hands-on experimental insight and production-grade computational tooling to translational protein and drug discovery projects.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Biology/Computer Science, Bachelor of Science - BS, Biology/Computer Science at Handong Global UniversityMaster of Science - MS, Cheminformatics, Master of Science - MS, Cheminformatics at Yonsei UniversityDoctor of Philosophy (Ph.D.), Biophysics, Doctor of Philosophy (Ph.D.), Biophysics at University of North Carolina at Chapel Hill
English, Korean
Stackoverflow
1reputation
2kreached
1answer
1question
Github Skills (88)
computer-graphics10
rendering10
portal10
cluster-computing9
simulations9
opengl9
science9
python9
mesh-processing9
cudnn9
cpp9
arm9
visualization9
open3d9
molecular-simulation9
Programming languages (5)
Github contributions (5)
pnnl/AutoMicroED
Nov 2021 - Nov 2022
Contributions:9 commits, 13 PRs, 39 pushes in 11 months
PNNL-CompBio/srpAnalytics
Oct 2020 - Dec 2022
This repository contains the code necessary to process any new data for the Superfund Research Program Analytics Portal.
Contributions:216 commits, 21 PRs, 186 pushes in 2 years 2 months
portalanalyticspythondata-science
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