Sr. Machine Learning Scientist
Dr. Jeff Schwartzentruber holds the position of Sr. Machine Learning Scientist at eSentire – a Canadian cyber-security company specializing in Managed Detection and Response (MDR). Dr. Schwartzentruber holds a PhD in Mechanical Engineering from Ryerson University with a focus on analytical process modelling. Since his PhD, Dr. Schwartzentruber’s primary academic and industry research has been concentrated in solving problems at the intersection of cyber-security and machine learning. Over his 10-year career, Dr. Schwartzentruber has been involved in apply machine learning models for threat detection and security analytics for several large Canadian financial institutions, public sector organizations and SME’s. In addition to his private sector work, Dr. Schwartzentruber continues to actively contribute to foundational academic research in the realm of machine learning for cyber-security and IoT security. Dr. Schwartzentruber’s current research interests are: graph analytics and graph neural network (GNN) applications for cyber, the development of novel unsupervised machine methods and the synthesis of security intelligence for ML applications.