I’m Lawrence Leroux. I connect frontline medicine, AI research, and product development to build systems that help people live healthier lives.
From making health data usable to coordinating care and building a resuscitation research program. My work connects clinical needs, technical execution, and the people who make it happen.
Founder & Research Lead
Ask in plain language. Get answers grounded in data.
An agentic platform that maps health data and connects clinical questions to analyses and natural-language answers, with sources that can be checked.
I define the clinical use cases, build data mappings and agent workflows, and evaluate the quality and usefulness of the answers.
Co-Principal Investigator
Make hospital data useful for research.
An institutional project developing governed analytics and research extraction over the Hôpital du Sacré-Cœur de Montréal data lake.
I bring clinical priorities and AI use cases into the design, connecting the questions researchers ask with the data they need.
Co-Principal Investigator
Bring advanced resuscitation closer to the patient.
A mobile prehospital extracorporeal CPR research program studying care for people with refractory cardiac arrest, across REANIMATE-0 and REANIMATE-1.
I co-lead the program across hospital and prehospital partners, bringing together study design, clinical pathways, and operational teams.
Co-founder · Data & AI
A care plan people can carry through.
A perioperative care model supporting patients before, during, and after surgery, bringing together clinical expertise, preparation, and follow-up.
I joined the team as a co-founder. My current contribution focuses on data, how it can be used, and future AI applications to support patients and care teams.
Hands-on research, from learning representations to building the instrument.
Perioperative JEPA
Learning from longitudinal perioperative records to study risk after surgery.
Learning from the ECG
Self-supervised ECG research for defibrillation-response prediction, including signals distorted by chest compressions.
Compression research · OptiCPR
Experimental hardware and electrical mapping to investigate where and how chest compressions are delivered.
I’ve always wanted to understand how things work and what else they could become. As a child, I took electronics apart and built things from the pieces. Today, I find that same satisfaction in connecting ideas across medicine, engineering, and AI, then testing whether they can work in the world.
Medicine has made the purpose of that work personal. I think about someone returning home with their independence, their memories, and time with the people they love. I want to build tools that give patients more say in their care and clinicians more ability to help.
AI gives me a way to turn deeper understanding into tools people can use. My work on Argus, my contribution to Mensana, and my lab-hôpital proposal each explore a part of that ambition: helping people live more fully, on their own terms.
Explore my vision of healthcare
My path has taken me from family medicine, emergency departments, and intensive care to anesthesiology, ECMO, and resuscitation research.
Today, I’m an anesthesiologist and associate researcher at Hôpital du Sacré-Cœur de Montréal, and a resuscitation and ECMO consultant with Urgences-santé. Alongside that work, I’m completing an M.Sc. focused on AI at Concordia University.
I work closely with clinicians, engineers, and researchers to turn clinical problems into projects we can test and improve. I stay involved in the technical work: building an early version often reveals questions we wouldn’t have found in discussion alone.
I’ve been fortunate to work with teams of clinicians, researchers, engineers, and trainees who have made these projects possible. Their ideas, expertise, and commitment shape what we build and what we learn.
My clinical experience helps me recognize the problems that matter to patients and the workflows around them. My work in AI helps me assess where it could be useful, choose an approach, and help build the solution. I connect what a care team needs with what the technology can realistically do.
I work with colleagues to frame research questions, design studies, and interpret what the results actually support. We challenge assumptions and use the findings to decide what to improve or pursue next. That shared judgment is essential to making progress we can trust.
Leroux L, Lamontagne A, Belliveau M · Paris
First author · Simulation & systems design
First author · Systematic review & meta-analysis
Journal publications, preprints, conference contributions, and 8 research grants.
Best Presentation · ERC FIRST Competition, 2023
First Prize · UdeM Anesthesiology Research Day, 2022
Health is inseparable from the lives we hope to live.
I’m looking to join a frontier health AI team that pairs scientific ambition with a deep commitment to people.
lawrence.leroux@umontreal.ca