Michael Lynch Profile Picture

Michael Lynch

BEng, PhD

Toronto, Canada

About Me

I am a product leader with nearly 20 years of experience spanning product leadership, delivery, and translational research. My focus is on launching impactful AI products, specifically within the healthcare domain. I've successfully brought AI tools to millions of patients and clinical teams, founded a startup, led healthcare transformation projects, and enjoy teaching AI in healthcare. Holding a PhD in Computer Vision, I'm also an active contributor to the open-source community.

For a detailed overview of my work history and accomplishments, please visit my LinkedIn profile.

Projects & Contributions

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ReferWell Open Source

An open-source project designed to streamline the patient referral process between family doctors and specialists, improving coordination of care.

Read on Medium
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HospitalGPT

An exploration using AI Agents (Autogen, GPT-4, Mixtral) to manage simulated patient populations, demonstrating potential AI applications in healthcare administration.

Read on Medium
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AI for Medical Imaging (DarwinAI)

Co-developed FibrosisNet for predicting pulmonary fibrosis and led the deployment of COVIDNet for COVID-19 detection in collaboration with top pharma and hospitals like Boston Children's.

FibrosisNet Paper
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Privata.ai & Patient Data Network

Co-founded a startup building a SaaS platform for internal data breach detection, based on my open-source Patient Data Network project focused on secure patient data sharing.

Patient Data Network (Medium)
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AI Products at Providence

Led AI product initiatives impacting millions patients, focusing on reducing clinical workload and enhancing patient engagement. Drove significant user growth and operationalized product strategy.

Learn About Providence DIG
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OpenMRS Java SDK

Developed an SDK to integrate the open-source Electronic Medical Record system OpenMRS with the Privata.ai platform, facilitating secure data interaction.

View on GitHub

More Information

You can find my publications on Google Scholar, explore my code repositories on GitHub, read my articles on Medium, or view my full professional history on LinkedIn.