Olga Kononova is a Scientific Visualization Infrastructure Engineer with 11 years of experience combining mathematics, chemistry, and computer science to build production-ready tools for computational science. She holds two Ph.D.s—in Chemistry and in Physical Sciences/Applied Mathematics—and has led interdisciplinary projects that apply ML, NLP, and graph neural networks to problems from force-field parameterization to automated synthesis extraction. At Syngenta and Roivant she translated domain expertise into software that automates ligand design workflows and predicts molecular geometry, and her Reinvent4 scoring integration is included in an official release. Her work at Berkeley Lab produced a deployed synthesis API and several first-author publications, demonstrating an ability to move research into usable services. Known for elegant, user-focused code and a preference for building tools scientists actually use, she thrives at the intersection of research and production engineering.
11 years of coding experience
6 years of employment as a software developer
UMass Lowell
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
Bachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at Southern Federal University (former Rostov State University)
Contributions:11 pushes, 1 branch in 2 years 4 months
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.