SolarGik
Joseph Schwarzbach is an experienced algorithms and modeling expert with a robust background in engineering, physics, and applied mathematics. Currently, Joseph is contributing to the development of tracking photovoltaic projects at SolarGik, having previously held roles focused on data processing and signal analysis at Accellix. Joseph has also worked independently, providing insights on simulations and control algorithms, while serving as an algorithms and modeling consultant at BrightSource Industries. Additional experience includes work in machine learning at Picktorial and as a teaching assistant at Sami Shamoon College of Engineering. Joseph’s educational credentials include a Master's in Applied Mathematics from University Pierre & Marie Curie and an engineering degree with IT specialization from Mines Paris - PSL.
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SolarGik
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SolarGik's mission is to unlock the potential of solar energy by solving the industry's biggest challenges - intermittency, reliability, predictability and flexible production and distribution. SolarGik offers smart PV tracker solutions that are modular, configurable, lightweight, and easy to install and maintain, which provide 20-25% more energy production than fixed-tilt panels. Our trackers can be installed any place a fixed-tilt panel can be installed. Our “Tracker Control System” utilizes AI and serves as a project-level SCADA/DCS system to optimize energy and financial outputs. SolarGik was founded by veterans of the solar energy industry with hundreds of years of combined solar industry experience. They have designed, installed and operated hundreds of thousands of solar trackers with Gigawatts of installed capacity.