At GenAI Health Lab, we are driven by curiosity, creativity, and the belief that generative AI can transform the future of health. Our team of dedicated students and researchers works at the intersection of technology and healthcare, exploring bold new ideas and building innovative solutions.
From AI-driven drug discovery and synthetic data generation to health service chatbots and generative qualitative coding, our projects push the boundaries of what’s possible. In our fast-paced and collaborative environment, we embrace experimentation, learn from challenges, and stay committed to advancing knowledge that can make a real impact.
Get to know the researchers in our lab: see team profiles.
Research interests
- Artificial intelligence (AI) for public and population health
- AI in drug discovery
- AI for learning health systems
- Generative AI (GenAI) and synthetic data
- Evaluation of GenAI in health
- Health data quality and analytics
- Real world evidence
See selected publications for more information on our work.
Interested in working with us?
As part of who we are, we are always looking for new opportunities and innovations.
For students
Interested in becoming a student of the GenAI Health lab? We are looking for passionate students and researchers interested in exploring up-and-coming technology and ideas!
Please check out our page outlining how students can get involved.
For partners and collaborators
We partner with companies and research teams to co-create innovative solutions at the intersection of health and generative AI.
Connect with us if you’re looking to collaborate on cutting-edge projects.
News
Accelerating drug development with AI
Developing new drugs to treat illnesses has typically been a slow and expensive process. However, a team of researchers at the University of Waterloo uses machine learning to speed up the development time.
The Waterloo research team has created "Imagand," a generative artificial intelligence model that assesses existing information about potential drugs and then suggests their potential properties.