Jean-Christophe Petkovich

Chief Technology Officer

Acerta Systems Analytics

Jean-Christophe directs Acerta’s research and development of statistical and machine learning algorithms for analyzing data and predicting failures in vehicles and industrial machines. He has logged nearly 12 years of experience in developing cutting-edge techniques for data analysis, pattern recognition, statistical modelling and machine learning. This extensive stint included working for leaders in the transportation industry such as QNX and Bombardier, where he wrote software for safety-critical systems. Jean-Christophe’s PhD thesis in Computer Engineering at the real-time embedded software group at the University of Waterloo focused on methods for predicting performance regressions using Bayesian statistics, building statistical models of memory layout performance effects, and creating a heterogeneous performance evaluation infrastructure with an intelligent self-optimizing scheduler.

CTO and co-founder of Acerta. Focused on developing statistical and machine learning algorithms for predictive analytics of failures/anomalies for automotive applications and industrial machines. He has over 11 years of experience in data analysis, pattern recognition, statistical modelling, and machine learning. He is a PhD candidate from Univ of Waterloo and previous work experience at QNX Software Systems and Bombardier Transportation.

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