Research Engineer - Machine Learning at D. E. Shaw Research
New York, New York, United States
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
👤
Senior
🎓
Top School
Sebastian Dick is a computational physicist and research engineer with nine years of experience applying machine learning to molecular simulation and drug discovery. Currently at D. E. Shaw Research, he focuses on ML force fields and developing robust, production-ready tools that bridge classical molecular mechanics with deep learning. His background includes leading a team to build an end-to-end force field parametrization library, creating neural network–based charge models, and optimizing ML software for diverse architectures including GPU inference and C/C++ integrations. He holds a PhD in physics and has a track record of turning research prototypes (e.g., NeuralXC) into well-tested, widely integrable code, demonstrating both scientific rigor and software engineering discipline. Notably, he combines physics-informed model design with practical validation against free energy calculations and experimental data, making his work directly relevant to translational drug research.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Physics, with distinction, Bachelor's degree, Physics, with distinction at Julius-Maximilians-Universität Würzburg
Master of Arts - MA, Physics, Master of Arts - MA, Physics at Stony Brook University
:triangular_ruler: A flexible two-column Jekyll theme perfect for building personal sites, blogs, and portfolios.
Contributions:33 pushes in 4 years 8 months
rulerperfectsitesportfoliosjekyll
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Sebastian Dick - Research Engineer - Machine Learning at D. E. Shaw Research