Pierre Gautreau

Operations Management and Information Systems

Toronto, Canada

Schulich School of Business

Hi,
I’m a researcher working at the intersection of machine learning, healthcare, and innovation. I work on AI systems that don’t just work in theory—they help solve real problems in the world, from improving patient recovery in physiotherapy to supporting better decisions in startups and drug development.

My background blends industrial engineering, operations, and applied machine learning. That means I’m comfortable working with messy data, building interpretable models, and turning complex analysis into clear insights that people can use.

Right now, my work includes:

AI-powered tools that track and improve how patients do their rehab at home
Synthetic expert agents that simulate how investors make decisions
Predictive models that help pharma and biotech companies manage partnerships

Across everything I do, I focus on building trustworthy, evidence-based tools that are practical, transparent, and grounded in rigorous methods. If you're working on a problem where decisions matter and data is messy, I’d love to talk.

CV

Education

Sept 2021 – Present

Doctorate of Philosophy in Administration (Operations Management and Information Systems),
Schulich School of Business, York University,
Toronto, Ontario, Canada

April 2017 – June 2020

Master Business Administration with specialization in Supply Chain Management,
Lazaridis School of Business and Economics, Wilfrid Laurier University,
Waterloo, Ontario, Canada

Sept 2010 – April 2015

Baccalauréat en ingénierie mécanique (régime coopératif),
Université de Moncton,
Moncton, New Brunswick, Canada

Professional Designation

June 2021

Licensed Professional Engineer (P.Eng.),
Professional Engineers Ontario, Ontario, Canada

Research Areas

Artificial Intelligence, Innovation Management, Technology Management, Health Care Operations

Research Methods

Econometrics, Statistics, Machine Learning, Qualitative Analysis, Clinical Trials, Big Data Analysis

Professional Experience

2023 – Present

Visiting Graduate Student, Orthopaedic Biomechanics Laboratory,
Sunnybrook Research Institute, University of Toronto, Toronto, Ontario, Canada

2023 (Fall),
2024 (Fall)

Visiting Graduate Student, College of Design and Engineering,
National University of Singapore, Singapore

2024 (Winter)

Sessional Instructor, OMIS2010 - Operations and Supply Chain Management,
Schulich School of Business, York University, Toronto, Ontario, Canada

2020

Research Assistant, Lazaridis School of Business and Economics,
Wilfrid Laurier University, Waterloo, Ontario, Canada

2011 – 2021

Second Lieutenant and Aviation Instructor, Cadet Instructor Cadre,
Royal Canadian Air Force, Canada (Various Locations)

2019 – 2021
2018 – 2019

Associate Engineering Project Manager
Maintenance Supervisor
Blanco Canada Inc., Etobicoke, Ontario, Canada

2017 – 2018

Asset Reliability Specialist,
Maple Leaf Foods, Mississauga, Ontario, Canada

2016 – 2017
2015 – 2016

Paper Mill Process Engineering Specialist
Maintenance and Reliability Engineering Specialist
Irving Consumer Products, J.D. Irving Ltd., Toronto, Ontario, Canada

2010 – 2015

Math and Science Tutor,
Éduc-Aide Inc., Dieppe, New Brunswick, Canada

2014
2012

Mechanical Intern (Coop)- Maintenance and Reliability
Mechanical Intern - Technical Support Group (Coop)
Énergie Électrique, Rio Tinto Alcan, Saguenay, Québec, Canada

2013

Project Engineering Intern (Coop), Oil Sands Sustaining Projects,
Suncor Energy, Fort McMurray, Alberta, Canada

2011

Field Inspector (Coop), Engineering Department,
City of Moncton, Moncton, New Brunswick, Canada

Research

Working Papers

Gautreau, P., Lévesque, M., Subramanian, A., Van de Vrande, V., Diamant, A., (Working Paper) I think we should see other people: Understanding bio-pharma partnership terminations following successful drug launches. Preparing for submission to Production and Operations Management

Gautreau, P., Boyer, P., Lévesque, M., Razmjou, H., Renteria, C., Sheth, U., Richards, R., Shaw, J., Whyne, C., Burns, D. (Working Paper) Real-Time AI Exercise Feedback Improves Adherence and Recovery in Physiotherapy Patients: A Clinical Study. Preparing for submission to Nature Medicine

Work in Progress

Gautreau, P., Diamant, A., Lévesque, M., (Work in Progress) Designing Informed LLM Agents for Scientific Research in Entrepreneurship

Gautreau, P., Lévesque, M., Subramanian, A., Van de Vrande, V. (Work in Progress) Recovering from Failure: The Longitudinal Effects of Setbacks on Inventor Productivity and Innovativeness.

Gautreau, P., Lévesque, M., Whyne, C. (Work in Progress) Detecting severity of upper extremity pathology using motion recognition patterns.

Presentations

Gautreau, P., Lévesque, M., Subramanian, A., Van de Vrande, V., Diamant, A., (2025, accepted and forthcoming in July). I think we should see other people: Understanding bio-pharma partnership terminations following successful drug launches [Conference presentation]. Academy of Management Meeting, Copenhagen, Denmark.

Gautreau, P., Lévesque, M., Subramanian, A., Van de Vrande, V., Diamant, A., 2025, accepted and forthcoming in June). A Machine Learning Approach for Predicting Biotech-Pharma Alliance Termination After Drug Launch [Conference presentation]. Canadian Operations Research Society Conference, Edmonton, AB, Canada

Gautreau, P., Boyer, P., Lévesque, M., Razmjou, H., Renteria, C., Sheth, U., Richards, R., Shaw, J., Whyne, C., Burns, D. (2025, May 10-12) Evaluating the Implementation of AI-Motion Recognition for Home-Based Physical Therapy [Conference presentation]. POMS Conference 2025, Atlanta, GA, United States.

Gautreau, P., Lévesque, M., Subramanian, A., Van de Vrande, V., Diamant, A. (2025, May 10-12) Biotech-Pharma Alliances: Predicting Breakups Following Drug Launches with Machine Learning [Conference presentation]. POMS Conference 2025, Atlanta, GA, United States.

Gautreau, P., Boyer, P., Lévesque, M., Razmjou, H., Renteria, C., Sheth, U., Richards, R., Shaw, J., Whyne, C., Burns, D. (2025, Apr 28-29) Mobile Application with Real-Time AI Exercise Feedback Improves Physiotherapy Adherence and Recovery [Conference presentation]. NSERC CREATE Annual Conference 2025. Toronto, ON, Canada.

Gautreau, P., Lévesque, M., Subramanian, A., Van de Vrande, V., Diamant, A., (2024, Oct 20–23). Impact of Successful Drug Launches on Biotech-Pharma Alliance Terminations: A Machine Learning Approach [Conference presentation]. INFORMS Conference 2024, Seattle, WA, United States.

Gautreau, P., Lévesque, M., Subramanian, A., Van de Vrande, V. (2024, Jun 1–2). I think we should see other people: Understanding bio-pharma partnership terminations following successful drug launches [Conference presentation]. 2024 Supply Chain Research Forum, London, ON, Canada.

Gautreau, P., Lévesque, M., Whyne, C., (2024, Apr 25-29). Impact of service process automation on consumer motivation: Insights from AI-assisted at-home physiotherapy [Conference presentation] POMS Conference 2024, Minneapolis, MN, United States.

Gautreau, P., Lévesque, M., Subramanian, A., Van de Vrande, V. (2023, Oct 15–18). I think we should see other people: Understanding bio-pharma partnership terminations following successful drug launches [Conference presentation]. INFORMS Conference 2023, Phoenix, AZ, United States.

Gautreau, P. (2023, Apr 29-30). Impact of engineering research on the Canadian economy [Conference presentation]. NSERC CREATE Annual Conference 2023. Toronto, ON, Canada.

Gautreau, P., Lévesque, M., Subramanian, A., Van de Vrande, V. (2023, May 21–25). I think we should see other people: Understanding bio-pharma partnership terminations following successful drug launches [Conference presentation]. POMS Conference 2023, Orlando, FL, United States.

Gautreau, P., Rostami, B. (2020, June 7-31). Analysis of environmental, social, and economic impacts of drone delivery [Conference presentation]. Canadian Operational Research Society Annual Conference 2020. Online.

About Me