Jack Royero is a Data Scientist at Pano since July 2020, specializing in geospatial data activities for various internal functions, and developing methodologies for site selection using ArcGIS and Python. Prior experiences include roles as an Undergraduate Research Assistant at Ihme Group, Stanford University, where Jack conducted complex analyses on computational methods for turbulent combustion and particle-laden flows. Jack also contributed to a computational fluid dynamics project at the Propulsion and Energy Research Lab at UCF, leading to a conference publication, and participated in experimental research on advanced propulsion systems. An independent researcher at the Raghavan Research Group at UCF, Jack presented work on electric propulsion modeling at the Intel International Science and Engineering Fair. Jack holds a Master of Science and a Bachelor of Science in Mechanical Engineering from Stanford University.
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