Summary
Velimir Vesselinov is a seasoned technical founder and scientist with 15+ years applying machine learning, physics-informed modeling, and high-performance computing to energy and environmental problems. As Co-Founder, CTO and CSO of multiple startups and a longtime Principal Investigator at Los Alamos National Laboratory, he has led interdisciplinary teams to deliver unsupervised and physics-informed ML tools for carbon sequestration, geothermal exploration, and subsurface flow. He blends deep academic roots in hydrology and applied mathematics (PhD, University of Arizona) with hands-on code development, model diagnostics, and decision-support frameworks used in DOE- and ARPA-E-funded projects. Notably, he has translated advanced model/data fusion and uncertainty analysis into practical workflows for risk assessment and field decision making—work reflected in a sustained publication record. Based in Santa Fe, he combines startup leadership with lab-grade research rigor, often bridging high-performance and emerging quantum computing techniques.
15 years of coding experience
34 years of employment as a software developer
The University of Arizona
Master's degree Hydrogeology and Engineering Geology, Master's degree Hydrogeology and Engineering Geology at Minno-geoložki universitet 'Sv. Ivan Rilski'
Bulgarian, Russian, English