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Adam Fershtman is a data scientist currently working at Cato Networks since February 2024, with prior experience at SAM Seamless Network from December 2021 to January 2024 and as a postdoctoral researcher in the Fluid Mechanics Lab at The University of British Columbia from December 2020 to September 2021. At The University of British Columbia, Adam conducted research on Rayleigh-Taylor instability and also served as a teaching fellow in the Mathematics Department. Prior to this, Adam spent eight years at Tel Aviv University, first as a postdoctoral research fellow focusing on multiphase flow and then as a research fellow and lab manager, overseeing research projects, large data processing, experimental facility automation, and budget management. Adam holds a PhD, a Master's degree, and a Bachelor's degree in Mechanical Engineering, all from Tel Aviv University.