Harvard Medical School
Research Engineer. Medical imaging software, surgical navigation, robotic integration, and open-source software development.
Foundation
Why GoodMind AI?
I founded GoodMind AI because I firmly believe that it is essential for Quebec and Canadian SMEs to quickly adopt technologies capable of transforming the way we work, in order to remain competitive on the global stage. Taking this step isn't always easy, which is why GoodMind AI is here to guide you through this transition. GoodMind AI is founded on a fundamental belief: your AI initiatives must be held to the same rigorous standards as systems developed for medical research, clinical trials, and regulated environments.
I am Laurent Chauvin, PhD. Before GoodMind AI, I spent years building software in contexts where precision mattered: medical imaging, surgical navigation, MRI-compatible robotics, deep learning, and clinical trials.
At Harvard Medical School, I learned that a good system is not just impressive in a demo. It must be understandable, traceable, maintainable, and robust in real-world conditions.
At ÉTS, my PhD in deep learning for medical imaging taught me to treat models as imperfect statistical tools: useful when evaluated properly, risky when they replace judgment.
With GoodMind AI, I want to bring that discipline to Quebec and Canadian SMBs: listen before prescribing, say no when AI is not the right answer, and build systems simple enough to be used for a long time.
My journey
PhD at ÉTS Montreal
Ph.D. in deep learning for brain image analysis, development of efficient algorithms for processing large datasets, and publication of scientific articles.
NeuroRx (Clario)
Research scientist. Development and integration of state-of-the-art AI systems to support the large-scale processing of brain images for clinical trials in neurodegenerative diseases.
GoodMind AI
Founder of GoodMind AI Services, an AI company for small and medium-sized businesses, with the goal of helping Quebec and Canadian SMEs transform recurring problems into useful and sustainable systems.
Why trust this
What this background changes for your projects.
Rigor
Systems are designed to be tested, explained, documented, and maintained.
Judgment
AI is proposed only when it creates more value than simple automation.
Security
Data, access, costs, and Law 25 constraints are discussed from the diagnostic.
Clarity
You get readable deliverables: recommendations, risks, costs, limits, and next steps.
Working standard
What you can expect.
01An honest diagnostic before development.
02Narrow prototypes tested with your real examples.
03API and infrastructure costs separated and documented.
04A bias toward simple, maintainable, useful systems.
If this way of working resonates, start small.
The diagnostic is designed to create clarity before creating software.