Robert Shaw

Machine Learning Lead at RevoNA Bio

London, England, United Kingdom
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
Robert Shaw is a Machine Learning Lead with nine years of interdisciplinary research and industry experience spanning mathematics, theoretical chemistry, and high-performance computing. He specialises in building and rigorously analysing complex statistical and physical models, deploying both traditional and cutting-edge ML techniques on GPUs and HPC clusters. In industry roles he has bridged experiment and modelling in drug discovery, enabling rapid feedback loops between lab scientists and ML teams while engineering scalable cheminformatics solutions. His academic background includes a PhD in Theoretical Chemistry and multiple research fellowships across Sheffield, Melbourne, Oxford and Bristol, where he developed open-source scientific software and supervised students. Beyond core research he co-developed an outreach app and has a public GitHub showcasing his large-scale modelling tools, reflecting a commitment to reproducible, community-facing code. Colleagues value him for translating dense mathematical ideas into practical, production-ready systems that accelerate interdisciplinary science.
code9 years of coding experience
job4 years of employment as a software developer
bookMaster's degree Mathematics, Master's degree Mathematics at The Open University
bookMaster’s Degree Theoretical and Computational Chemistry, Master’s Degree Theoretical and Computational Chemistry at University of Oxford
bookDoctor of Philosophy (Ph.D.) Theoretical Chemistry, Doctor of Philosophy (Ph.D.) Theoretical Chemistry at The University of Sheffield
github-logo-circle

Github Skills (17)

quantum-chemistry10
python10
computational-chemistry10
chemistry10
physics10
cpp10
code-structure6
open-access5
journal5
creative-commons4
academia3
materials-informatics1
computational-physics1
theory1
jupyter1

Programming languages (4)

C++Jupyter NotebookFortranPython

Github contributions (5)

github-logo-circle
robashaw/libecpint

Sep 2020 - Apr 2021

A C++ library for the efficient evaluation of integrals over effective core potentials.
Contributions:10 releases, 7 reviews, 13 commits in 6 months
cpp
robashaw/basisopt

Apr 2021 - Jan 2023

Basis set optimization library for quantum chemistry
Contributions:4 releases, 7 reviews, 5 commits in 1 year 9 months
quantum-chemistry
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