Lab Leaders

The Lab’s ambitions are backed by a collection of world-class thinkers and leaders. Here’s our team.

Murat Kristal headshot

Murat Kristal

Director, Master of Business Analytics & Master of Management in Artificial Intelligence
Schulich School of Business
Ph.D (Operations, Technology and Innovation),
University of North Carolina at Chapel Hill

Channeling his passion for analytics and AI, Murat pioneered the first analytics program of its kind in Canada. His expertise in innovation, ideation and research is evident through his distinct ability to connect business problems with analytical and AI solutions. He is an Associate Professor of Operations Management and Information Systems and has co-authored the Handbook of Metrics for Research in Operations Management, along with several research publications.

Shelby Austin headshot

Shelby Austin

National Leader of Strategic Analytics

Shelby leads Deloitte Canada’s Artificial Intelligence offerings and also chairs the Global Innovation Council for Deloitte’s Financial Advisory practice. She has a proven track record of helping businesses drive significant growth through the use of technology and data-driven decision-making.

Ian Scott headshot

Ian Scott

Chief Data Scientist
Ph.D. (Physics), Harvard University

Ian is responsible for leadership and delivery of advanced analytical projects for Deloitte in Canada and globally. His academic career includes professor and postdoctoral positions at the University of Wisconsin-Madison, Stanford University, and CERN (European Centre for Particle Physics Research in Geneva).

Hjalmar Turesson headshot

Hjalmar Turesson

Deloitte Data Scientist
Schulich School of Business
Ph.D. (Neuroscience), Princeton University

Hjalmar's research straddles the line between natural and artificial intelligence, investigating the neural implementations and computational principles behind intelligence. Using methods spanning from in vivo to in silica, he has conducted basic research on semi-supervised learning, applied research in deep learning-based object tracking, machine learning applications for acoustic signals, and, more recently, blockchain and privacy-preserving machine learning on encrypted data. His research is published in top-tier scientific journals.

Thanks to...

The Lab is generously supported by the innovative organizations below.

The Lab also receives support from the Analytics and Artificial Advisory Council.