Summary
Brent Vastola-lunghino is a Senior Data Scientist with 11 years of experience applying analytics and machine learning to the energy and environmental sectors, currently based in the San Francisco Bay Area. He has progressed from field and research roles at USGS and Stanford to product-focused data science leadership at Kevala and now Modelyst, blending domain expertise in hydrodynamics and climate impacts with production ML. Brent specializes in forecasting and integrating distributed renewable resources into grid analytics, having built long-horizon hydropower flow forecasting products and analytics platforms for clean-energy applications. He thrives on transparent, quantitative teams and brings practical field experience—collecting coastal and sediment data—to inform robust, interpretable models. Known for bridging academic rigor and product delivery, he combines a Stanford M.S. in Computational and Mathematical Engineering with hands-on systems thinking to drive decarbonization through data. An understated strength is his ability to translate complex physical processes into scalable data products that operations teams can trust.
11 years of coding experience
12 years of employment as a software developer
B.S. Geological Sciences, B.S. Geological Sciences at Brown University
The University of New Mexico
Universite de Paris VI, VIII
Master’s Degree Computational and Mathematical Engineering, Master’s Degree Computational and Mathematical Engineering at Stanford University
English, French, Spanish