Kelsey Schuster

Kelsey Schuster is a Senior AI Engineer and Senior Data Scientist at Collibra, where involvement focuses on AI engineering. Prior experience includes a role as Senior AI Scientist at Johnson Controls, contributing significantly to the Digital Solutions business through the development of algorithms, APIs, and management of AI-based projects. Kelsey also served as a Data Scientist at Johnson Controls, creating models for equipment fault detection and signal processing for HVAC analytics, while securing multiple patents and presenting research at national conferences. Kelsey's academic background features a Ph.D. in Theoretical Physical Chemistry from the University of California, Berkeley, and a B.S. in Chemistry and Mathematics from Wheaton College. Additional experience includes roles as a Graduate Student Researcher and Instructor at UC Berkeley, and as a Teaching Assistant and Research Assistant at Wheaton College.