Spherical Analytics
Michael Young is currently an advisor at Spherical Analytics. Prior to that, they were a software development research engineer at the LESA Center from January 2019 to May 2020. Michael was also a software engineer intern at Leidos from May 2018 to August 2018.
Through a grant from the National Science Foundation and the RPI ECSE Department, Michael worked on a project for the Lighting Enabled Systems & Applications Engineering Research Center, which is dedicated to developing autonomous intelligent systems, to address modern challenges in the connected environment.
Michael's project involved the area of autonomous HVAC control for smart buildings, in which they integrated occupant localization, optimized system controls, implemented and evaluated an integrated system for collecting user preferences, and worked on an efficient data-driven learning and MPC smart HVAC personalization algorithm, for cohabited work spaces.
Michael Young has a Bachelor's degree in Computer Science with concentrations in Artificial Intelligence and Data, Systems and Software from Rensselaer Polytechnic Institute. Michael also has a degree from Bishop Connolly High School.
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Spherical Analytics
Spherical Analytics develops environmental impact solutions that combine blockchain technologies with big data and machine learning.