Summary
Timofey Golubev is a Senior Research Scientist with nine years of experience developing physics-based and machine learning models for multi-physics systems, specializing in electro-thermal modeling of batteries, electric vehicles, and photovoltaics. He holds a PhD in Physics from Michigan State University and has led both algorithm development and technical integration of a general coupled heat and moisture transport solver used for applications ranging from PV systems to human thermophysiology and clothing comfort. At ThermoAnalytics he has driven R&D and production software work, translating research-grade drift-diffusion and device-physics models into practical forecasting and optimization tools such as a commercial PV energy forecasting and cleaning-schedule platform. His background spans experimental condensed-matter methods (MBE, STM, AFM) and computational toolchains (C++, Python, Matlab, COMSOL), enabling him to bridge lab-scale physics with deployable engineering software. Notably, he has combined ab-initio insights with large-scale simulation to quantify temperature-induced PV losses and optimize plant operations under real weather conditions.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science, Physics, GPA 4.0, Bachelor of Science, Physics, GPA 4.0 at Missouri University of Science and Technology
Doctor of Philosophy (Ph.D.), Physics, Doctor of Philosophy (Ph.D.), Physics at Michigan State University
English, Russian