Derek Jones
PHD Candidate
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolDerek Jones is a PhD candidate and data scientist with 11 years of experience applying machine learning to computational biology, especially protein–ligand modeling using molecular simulation and HPC. He splits his time between UC San Diego research and collaborative projects with Lawrence Livermore National Laboratory and ATOM, developing generative and structure-based deep learning models for scalable chemical design. Derek combines rigorous academic training in computer science with hands-on experience in high-throughput simulation pipelines and feature-selection methods for drug discovery. He enjoys tackling interdisciplinary problems and translating models into tools that accelerate therapeutic discovery, and has a track record of building transferable ML techniques informed by domain physics.
11 years of coding experience
4 years of employment as a software developer
University of California, San DiegoMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Kentucky
Github Skills (67)
python10
statistics10
pytorch9
machine-learning9
scikit-learn9
data-science9
data-analysis9
scikit8
moses8
graph-convolutional-networks8
deep-learning8
benchmark8
geometric-deep-learning8
graph-neural-network8
graph8
Programming languages (4)
Github contributions (5)
LLNL/FAST
Dec 2020 - Jul 2021
Contributions:16 commits, 16 pushes, 7 comments in 7 months
wderekjones/protein_binding
Feb 2017 - Jan 2018
Contributions:86 pushes, 1 branch, 1 comment in 10 months
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