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2017 GTC San Jose

Mark York

Senior Quantitative Analyst, Renaissance Risk Management Labs

Speaker Bio

Mark York holds a Ph.D. in physics from McGill University, having specialized in mathematical physics (specifically numerical solutions/approximate solutions in Yang Mills theory) and possessing a strong background in C. Following this, he worked for over a year as a postdoctoral fellow at the Interdisciplinary Institute for Technological Innovation (3IT), shifting focus to applied research in photovoltaic technologies. His expertise at 3IT was numerical simulations of the characteristics (conversion efficiency, voltage, current, etc.) of photovoltaic devices, having contributed to an ongoing string of papers reporting the highest monochromatic light to electricity conversion efficiency (69.5%) for a multi-junction PV device in the literature. Mark recently left academia to pursue a software startup focusing on the application of GPU technology to quantitative finance.


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