About OPERIO

Built on research.
Designed for scale.

Operio is a mission-driven platform making high-quality procedural training accessible, scalable, and self-directed, grounded in rigorous research at Queen's University.

Our Mission

Make procedural training efficient and driven by real feedback.

Make procedural training efficient, accessible, and driven by real feedback. Remove the instructor bottleneck without sacrificing quality, so every learner builds genuine competency through practice that actually improves their technique.

Our Vision

Grounded in research. Built for the real world.

Grounded in rigorous research at Queen's University, built for real-world adoption. Every design decision traces back to learner outcomes and evidence, not assumptions.

Timing

Why This Moment

1

XR Hardware Maturity

Extended Reality (VR, AR, MR) hardware is now accessible and cost-effective, removing the barriers that blocked earlier adoption.

2

AI Advances

Real-time feedback, adaptive learning, and personalized AI coaching are now technically feasible at scale.

3

Training Crisis

Shortage of expert instructors means procedural skills training is a critical bottleneck in medical education today.

4

Market Shift

Educational institutions are actively seeking scalable, cost-effective training solutions that don't compromise quality.

The People

The Team

Chirag Chopra

Chirag Chopra

Research Team

Medical student at Queen's University with a background in Extended Reality and AI startups. Experience in categorizing human behaviour within AI.

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Souzan Yacob

Souzan Yacob

Research Team

Pharmacist by training and medical student at Queen's University. Extensive research in adapting technology to the healthcare space and learner outcomes.

Nicholas Laflamme

Nicholas Laflamme

Research Team

Ph.D. candidate at Dalhousie in Computer Science. Holds a Master's in Biomedical Engineering and Computer Science from the University of Ottawa.

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Dr. Wiley Chung

Dr. Wiley Chung

Research Supervisor

Thoracic Surgeon at Queen's University. Extensive background in developing medical technology and a dedicated medical educator.

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Dr. Eleftheria Laios

Dr. Eleftheria Laios

Research Supervisor

Currently working at OPDES (Professional Development and Educational Scholarship) at Queen's University, supporting the team in educational platform development and validation.

Validated. Rigorous. Ready for Scale.

Research First

Academic Rigor

Every claim backed by Phase 1 and Phase 2 validation studies at Queen's University. We don't ship until the science supports it.

Built to Scale

Commercial Reality

Built with the end goal of bringing transformative training tools to medical schools, hospitals, and simulation centers worldwide.

Evidence-Based

Learner-First

Our platform is designed around what actually improves procedural competency, not what's easiest to build or most impressive to demo.

OPERIO
Chung Lab
Faculty of Health Sciences, Queen's University

Developed at the Chung Lab, Faculty of Health Sciences, Queen's University, currently in rigorous validation phase with plans for commercialization and market adoption.

View Our Research
OPERIO

XR-based, AI-powered feedback platform for procedural medical skills training. Developed at the Chung Lab, Queen's University.

Get In Touch

Chung Lab, Faculty of Health Sciences
Queen's University
Kingston, Ontario, Canada

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