Tony Davis
Senior Technical Staff at The Johns Hopkins University Applied Physics Laboratory
Silver Spring, Maryland, United States
Summary
🤩
Rockstar🎓
Top SchoolTony Davis is a Senior Technical Staff member at Johns Hopkins APL with four years of cross-disciplinary experience spanning AI research, software, and engineering. He holds advanced degrees in AI and has worked as a research scientist and graduate researcher applying machine learning to scientific domains, complemented by industry experience in mechanical engineering and leadership as a former Army infantry officer. Tony contributes to notable open-source projects like DeepChem, improving documentation and tutorials that help make deep learning for drug discovery and quantum chemistry more accessible. Based in Silver Spring, he combines rigorous academic training with hands-on technical writing and tooling for scientific ML, and is currently pursuing a Doctor of Engineering in Artificial Intelligence. Notably, his background blends field leadership, hardware engineering, and AI research—giving him a practical, systems-oriented perspective on applied ML problems.
4 years of coding experience
3 years of employment as a software developer
Johns Hopkins UniversityMaster of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at Florida Atlantic UniversityBachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at The Ohio State University
Github Skills (2)
documentation10
python5
Programming languages (9)
Github contributions (5)
deepchem/deepchem
Nov 2021 - Jan 2023
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Role in this project:
Technical Writer
Technical WriterContributions:111 reviews, 47 commits, 85 PRs in 1 year 2 months
Contributions summary:Tony's commits primarily focused on fixing documentation issues within the repository, including correcting typos, fixing formatting issues, and ensuring proper display of references. The user created a tutorial for HHSuite to identify multi sequence alignments, and added an example usage snippet to the moleculeNet dataset. Their work demonstrates a dedication to improving the clarity and accessibility of the project's documentation and examples.
chemistrysciencedrug-discoverydeep-learningbiology
tonydavis629/HAUCS
Feb 2022 - Jan 2024
Hybrid Aerial Underwater Robotic System
Contributions:1 PR, 76 pushes, 1 branch in 1 year 11 months
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