Joseph Schwarzbach is an Algorithms & Modelling Expert with over a decade of experience developing and consulting on advanced algorithms across solar energy, medical signal processing, face recognition, and social network analysis. He spent a decade at BrightSource designing physical simulations, LIDAR-based shape reconstruction, control and optimization algorithms for solar plants, and since 2018 has operated as an independent consultant delivering bespoke modeling and data-driven solutions. Currently at SolarGik, he blends rigorous applied mathematics (MSc from Pierre & Marie Curie) and engineering training from Mines ParisTech to turn complex physical and statistical problems into deployable systems. His work focuses on optimization, data modeling, and visualization with an eye toward sustainability and social equity in energy applications. Notably, he pairs research-grade simulation skills with practical implementation experience—shipping production-ready algorithms for tracking, flux control, and layout optimization. Based in Jerusalem, he brings a rare combination of simulation, signal-processing, and optimization expertise that bridges academia and industry.
11 years of coding experience
Master's, Master's at University Pierre & Marie Curie (Paris VI)
A community-maintained implementation of the pvfactors bifacial irradiance model
Contributions:19 pushes, 1 branch in 13 days
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Joseph Schwarzbach - Algorithms & Modelling Expert at SolarGik