Daniel Williams
GEM Fellow at Oak Ridge National Laboratory
Gaithersburg, Maryland, United States
Summary
👤
Senior🎓
Top SchoolDaniel Williams is a PhD student in Computer Science at Princeton and a GEM Fellow with nine years of research and internship experience applying AI/ML to physics and clean energy systems. He has driven numerical optimization and machine learning projects for stellarator design at PPPL and nuclear reactor optimization at MIT, blending computational methods with engineering feasibility studies. His background includes cohort-based AI research at JHU APL and applied projects for the U.S. Nuclear Regulatory Commission, reflecting a balance of policy-aware engineering and hands-on software development. Comfortable moving between deep learning, numerical optimization, and domain physics, he focuses on translating ML advances into scalable clean-energy solutions. Colleagues describe him as a leader and educator who seeks to empower others while advancing ambitious scientific goals.
9 years of coding experience
International Baccalaureate Diploma | High School Diploma, International Baccalaureate Diploma | High School Diploma at Richard Montgomery High SchoolUMBCDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Princeton University
Github Skills (7)
template-matching7
computer-vision3
object-detection3
sms3
chatbot2
rover2
chat2
Programming languages (4)
Github contributions (5)
DanWilliams24/OpenCV-Research
Oct 2018 - Dec 2021
This is a personal research project examining OpenCV object detection, recognition and tracking.
Contributions:2 PRs, 6 pushes, 2 branches in 3 years 1 month
template-matchingrecognitionobject-detectioncomputer-visiontracking
RMRobotics/FTC_2019-2020
Oct 2019 - Mar 2020
Contributions:4 PRs, 18 pushes, 2 branches in 4 months
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