M2PI
Unlocking Innovation Through Advanced Mathematical Thinking.
M2PI connects non-academic partners (industry, government, non-profits and related sectors) with teams of skilled mathematical trainees to tackle real-world problems. Organizations gain fresh insight grounded in cutting-edge mathematics, while trainees gain hands-on experience with meaningful industrial projects. Successful applicants will commit to full-time participation within a set duration, typically 2 to 3 weeks, during which time they will receive specialized professional and technical training while collaborating in teams on industry-specific problems under the guidance of an industry mentor.
There is no cost to participate—partners simply provide a real-world challenge and designate a mentor to engage with the project team during the two-week rapid engagement. M2PI is supported through grants and sponsors.
Since 2020, M2PI has delivered more than 40 industry partner projects across sectors such as:
- Finance
- Manufacturing
- Energy & Utilities
- Election Analytics
- Urban Planning
- Engineering
- Healthcare
Before working with partners, M2PI trainees complete a rigorous boot camp covering software best practices, coding, business, communications and project management. They get to collaborate closely with industry partners to explore, analyze and develop potential solutions.
Sponsorship opportunities are available for organizations that want to engage with our talent pipeline—with or without submitting a challenge.
To learn more about M2PI, including current projects and opportunities, please visit m2pi.ca.
PIMS also supports M2PI Case Studies Virtual Seminar, where past projects are examined and experiences are shared. Written reports showcasing partner problems and trainee solutions are also available below.
Latest Issue
M2PI Final Report
(2021)In this edition
- AI for road surface scanning - Aerium Analytics
- Feasibility of Using Vertical Axis Wind Turbines (VAWT) Placed on Highway Medians - ATCO
- Personalized Medicine - CSTS Healthcare
- Modelling Mosquito Populations - City of Winnipeg, Insect Control Branch
- Analytics and Visualization of Political Data - IOTO International
- Characterizing Resistance and Conductance on a Copper Bus Bar - McMillan-McGee
- Modelling Mountain Pine Beetle Invasions By Long Distance Dispersal - Natural Resources Canada (NRCAN)
- Optimizing Marking Techniques for Mark-Recapture Studies of Mountain Pine Beetles - Natural Resources Canada (NRCAN)
- Modelling Real-Time Hydraulic Systems with Position Based Dynamics - Serious Labs
- New Techniques and Technologies in Data Driven Approaches to Sustainability - Theory Mesh