Meet the advisors, engineers, and research contributors translating Canadian excellence into deployable physical intelligence.
At the Canadian Physical AI institute (CPAI), our mission is to accelerate and simplify the practical integration of AI and robotic systems across Canadian organizations, service providers, and industrial sectors. Rather than focusing only on building technology, we act as a bridge between advanced research and industrial application, helping traditional industries adopt AI not as a mysterious black box, but as a practical everyday utility, as familiar and dependable as electricity.
To deliver that mission, we focus on four priorities.
For many small and mid-sized organizations, the main barrier is not the technology itself but organizational culture. We help teams that lack structured data, internal expertise, and change capacity prepare seriously for AI adoption.
Many businesses remain stuck in endless pilots. We focus on measurable results so organizations can clearly see return on investment through gains in productivity, service quality, decision accuracy, cost reduction, and operating speed.
We create environments where researchers and engineers can work directly inside traditional businesses and physically grounded sectors such as factories, service firms, and facilities, proving value first in real operating conditions rather than polished demos.
Through executive education, technical reporting, and strategic partnerships, we close the gap between technology providers and decision-makers in traditional industries.
AI adoption is rarely blocked by technology alone. Most organizations struggle with data readiness, unclear ROI, workflow integration, skills, trust, and the gap between pilots and real deployment.
Over the next year, CPAI will focus on turning AI from a research concept or pilot tool into a measurable operational capability for Canadian businesses and traditional industries. Market evidence shows the core challenge is not just access to technology, but the absence of a clear path for selecting use cases, preparing data, training teams, integrating with existing workflows, and measuring return on investment.
Design roadmaps, assess readiness, and guide organizations step by step from idea to execution across Canadian SMEs and traditional industries.
Prioritize projects with tangible impact on productivity, cost reduction, service quality, decision accuracy, and operational speed.
Test and validate AI, robotics, automation, and intelligent systems in factories, service companies, supply chains, professional offices, and other live operating environments.
Help organizations understand AI properly, choose the right tools, manage change, measure ROI, and reduce fear or cultural resistance to digital transformation.
AI creates lasting value only when it is built on reliable data, clear processes, fit-for-purpose infrastructure, and trained people.
Create a cross-disciplinary network of specialists who can translate between researchers, engineers, industrial managers, and business owners and move projects from concept to execution.
Release annual reports and indicators on the state of Physical AI and Industrial AI adoption in Canada to identify gaps, opportunities, barriers, and successful use cases.
Work with universities, innovation centres, industry associations, government, and the private sector to make AI adoption simpler, safer, and more accessible for Canadian organizations.
CPAI aims to be the bridge between Canada's research and technology capacity and the real needs of business, moving AI from excitement, demos, and pilot programs into productivity, measurable ROI, and operational transformation.
CPAI unites builders, researchers, and operators to accelerate physical intelligence across robotics, mechatronics, safety tooling, infrastructure, and commercialization pathways.
We operate as a distributed lab network that pairs shared infrastructure with advisory programs, founder services, and translational research.
We support teams deploying physical AI responsibly through high-touch advisory, cohort learning, and field testing.
We publish benchmarks, playbooks, and modular standards to raise the floor for Canadian builders.
Industry, academia, and government partners share pilots and infrastructure to de-risk commercialization.
All roles listed below are volunteer or honorary designations within the CPAI ecosystem and do not create an employment, officer, director, or fiduciary relationship.
Advisors serve in an honorary capacity and do not hold fiduciary or legal governance responsibilities.
Honorary Advisor, Cleantech & Innovation
Founder of the Global Cleantech Directory, with experience in cleantech ecosystems, trade, and IP strategy, and an interest in how Physical AI connects to sustainable innovation.
Honorary Advisor, Operations
Telecom industry veteran with a background in operational frameworks, CRM systems, and enterprise-scale processes relevant to growing technical organizations.
Honorary Advisor, Commercialization & Technology
CEO of BIDAR, bringing experience in digital innovation, business intelligence, and commercialization pathways for technology-driven initiatives.
Volunteer Operations & Ecosystem Programs
Coordinates contributor workflows, ecosystem partnerships, and cross-functional delivery for CPAI initiatives.
Volunteer Operations Strategy
Supports operational planning, execution structure, and coordination across projects and internal systems.
Volunteer Robotics Operations
Bridges robotics engineering delivery with project execution, implementation planning, and lab-level operations.
Volunteer Systems & Delivery Operations
Supports systems-level execution, team coordination, and delivery pipelines for physical AI development efforts.
Volunteer Lead Robotics Engineer
Background in autonomous platforms, machine vision, and end-of-arm tooling, with experience across large technology and ag-tech environments.
Volunteer Robotics Systems Engineer
Award-winning technologist with experience at the intersection of deep reinforcement learning and biomechanics, particularly in rehabilitation and control systems.
Volunteer Mechanical Systems Engineer
Experience in CFD, mechanical drafting, and physical analysis, with a focus on thermal simulation and hardware system modeling.
Volunteer Infrastructure & DevOps
Background in cloud-native infrastructure, security pipelines, and scalable system operations, including IoT-enabled environments.
Volunteer Senior Research Fellow, Computer Vision
Research background in computer vision, optical engineering, and machine learning, with experience in advanced segmentation and data-driven perception systems.
Volunteer Research Fellow, Energy Systems
Research experience in AI-based control, neural CDEs, and reinforcement learning applied to complex energy and dynamical systems.
Volunteer Research Fellow, Deep Learning
PhD candidate at ETS with research interests in geometric deep learning and perception, particularly for 3D and medical imaging applications.
Volunteer Academic Fellow, AI & Imaging
Computer Science professor with academic experience in AI, imaging systems, and curriculum development.
Volunteer Lead Data Scientist
Background in predictive analytics and data-driven decision systems within industrial and physical system contexts.
Volunteer Senior Software Architect
Full-stack software architect with experience modernizing legacy systems and designing microservices-based platforms.
Volunteer AI Application Engineer
Experience in NLP, machine learning, and application-level AI systems, including LLM integrations and workflow automation.
Volunteer Research Associate
PhD candidate in Electrical and Computer Engineering with research experience in machine learning methods and applied AI systems.
CPAI is built on open, responsible collaboration. Every initiative is reviewed by advisors with safety, ethics, and regulatory backgrounds.
We embrace Canadian values of inclusivity while partnering internationally to share standards, document best practices, and publish transparent updates.
Dual-use reviews, compliance pathways, and ethical guardrails are mandatory across cohorts.
We publish templates, APIs, and datasets so partners can replicate and extend our work.
Canadian and international builders share labs, pilots, and procurement knowledge.
