Vladimir Potashnikov is a Senior Quantitative Researcher with 11 years of experience applying advanced mathematics, ML/DL, and high-performance programming to economic and energy systems. Trained at MIPT and further schooled via MIT MicroMasters, he builds and maintains large-scale optimization and simulation models (CGE, RES, gas market partial equilibrium, air dispersion) using tools from R and Python to C++ (MPI, CUDA) and GAMS. His work spans academia, international consultancy with the World Bank and UN collaborations, and industry quant roles at WorldQuant, combining theoretical finance knowledge with production-ready engineering. Notably, he co-developed the open-source energyRt package and an ML-driven method to estimate input-output tables, applied across multiple countries. Based in Budapest, he pairs deep research instincts with practical coding skill to turn complex economic questions into reproducible models and visualizations.
11 years of coding experience
2 years of employment as a software developer
Master of Science in Applied Mathematics and Physics, Applied Mathematics and Physics, Master of Science in Applied Mathematics and Physics, Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
Bachelor of Science in Applied Mathematics and Physics, Applied Mathematics and Physics, Bachelor of Science in Applied Mathematics and Physics, Applied Mathematics and Physics at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
MicroMaster Finance, MicroMaster Finance at MIT Professional Education
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
Vladimir Potashnikov - Senior Quantitative Researcher