Exploring AI Innovations in Medicine 101 Workshop@Harvard Medical School
This event features guest speakers from InterSystems on the topic: “Translating Innovation in Healthcare: Industry Insights.” We’ll explore how cutting-edge technologies are shaping real-world healthcare solutions and discuss pathways for meaningful collaboration between academia, industry, and clinical practice.
12:30–12:55 Welcome & light lunch for all attendees
13:00–13:10 Opening Remark: Dean Andrew
13:10–13:35 Keynote Speaker: Thomas Dyar
13:35–13:55 Speaker: Litong Jiang
13:55–14:15 Panel: Industry Insights of AI in Medicine: Dean Andrew, Thomas Dyar
14:15–14:30 Group photo & Raffles
14:30–15:00 Post-event networking reception
Our Speakers (Sort alphabetically by last name):
Dean Andrews, Head of Developer Relations, InterSystems.
Dean has worked extensively across the innovation pipeline, supporting the growth of health AI startups through his leadership of a global Startup Program and Corporate Venture Fund. He brings deep experience and strategic insight to the intersection of healthcare and artificial intelligence, with a proven track record of helping emerging ventures scale and succeed.
Thomas Dyar, Product Manager, ML/AI, InterSystems.
Thomas has a strong background in both data science and life sciences, with industry experience at Biogen and Becton Dickinson, where he applied deep learning and intelligent assistant technologies to healthcare challenges such as chronic disease management. He will share his insights on the application of LLMs and Retrieval-Augmented Generation (RAG) in healthcare, highlighting their potential to transform clinical workflows and patient support systems.
Litong Jiang, PhD, is a researcher working at the intersection of artificial intelligence and medicine. With a background in physics, she previously served as a research fellow at Brigham and Women’s Hospital. Her current work focuses on applying large language models to improve clinical communication and decision support. She led the development of an LLM-based tool that is now being piloted in a hospital in Beijing. Dr. Jiang is dedicated to building practical, ethical, and user-centered AI solutions that address real-world clinical challenges.
Whether you're a curious beginner or an experienced researcher, all are welcome to be part of this open, forward-thinking conversation on the future of AI in medicine.
Who should attend?
👩⚕️ Designed for participants from diverse backgrounds—technical or non-technical—who are eager to explore how AI is transforming healthcare. No coding experience needed!
Why should attend?
🏥 Gain Industry Insights
Learn how AI is being applied in real-world clinical settings, with perspectives from industry leaders actively shaping the future of healthcare technology.📖 Practical Takeaways on AI & LLMs
Discover actionable knowledge about Artificial Intelligence and Large Language Models (LLMs) in medicine—designed for both technical and non-technical attendees.🎁 Exclusive Networking Opportunities & Book Raffles
Connect with peers, researchers, clinicians, and innovators. Plus, a raffle to win.
Organizers:
The Harvard Medical School Postdoctoral Association (HMPA),
The Harvard Medical School Chinese Scholars Association (HMSCSSA),
The Harvard Undergraduate Research Journal (THURJ).
Notice
By attending this event, you consent to being photographed or recorded for documentation and promotional purposes. Speakers’ views are their own and do not represent those of Harvard University.