Conferences & Symposia
Translational Science Day 2026: “Using AI to Advance Translational Science: Methods, Tools, and Ethics”Translational Science Day 2026
Using AI to Advance Translational Science: Methods, Tools, and Ethics
We are excited to announce to the Tufts CTSI community that our virtual 2026 Translational Science Day symposium is scheduled for Friday, April 10!
The theme of this year’s symposium is Using AI to Advance Translational Science: Methods, Tools, and Ethics. The symposium is free to attend, and registration is now open!
Featuring a keynote address from Dr. Brian Anderson, Chief Executive Officer of the Coalition for Health AI, the event will spotlight recent research in health and AI from the Tufts CTSI community and include opportunities to explore the methods, challenges, tools and ethical issues around AI research through interactive breakout sessions.
Event Details
Friday, April 10
9:00AM – 3:00PM EDT
Virtual symposium via Zoom
Registration
We encourage you to bookmark this page and subscribe to our bi-weekly Happenings newsletter for updates, speaker announcements, and more.
Current Agenda (times subject to change)
Introduction and Keynote
9:00AM – 10:15AM EDT
Harry Selker, MD, MSPH, Dean and Principal Investigator, Tufts CTSI
Brian Anderson, MD, Coalition for Health AI (40-minute keynote plus Q&A)
Introduction to the Tufts Institute for Artificial Intelligence
10:20AM – 10:30 EDT
Tufts Institute for Artificial Intelligence funded projects showcase
10:30AM – 11:25 EDT
Moderated by David M. Kent, MD, CM, MSc, Director, Research Fellowship Program and Director, Clinical and Translational Science Graduate Program, Tufts CTSI; Director, Tufts Predictive Analytics and Comparative Effectiveness (PACE) Center
Zoe Zhu, PhD, Assistant Professor, Basic & Clinical Translational Sciences, Tufts University School of Dental Medicine
“From Biomarker Trajectories to Oral Disease Progression: A Temporal Multi-Task Deep Learning Approach”
Kara Button, DO, Tufts Clinical and Translational Science T32 Fellow; General Surgery Resident, MaineHealth, and Bipin Gaikwad, PhD, Postdoctoral Scholar, Tufts Data Intensive Studies Center
“Artificial Intelligence for the Classification of Cancer Treatment Response using Intra-operative Images”
Jonathon Gass, PhD, MPH, Assistant Professor, Public Health and Community Medicine, Tufts University School of Medicine, and Pramesh Singh, PhD, Senior Data Scientist, Tufts Data Intensive Studies Center
“Integrated Disease-Agnostic Intelligence for One Health (INDIGOH): A platform for integrated human, animal, and environmental surveillance”
Tufts Analytics Platform Overview and Demo
11:30AM – 12:00PM EDT
William Harvey, MD, MSc, FACR, Chief Medical Informatics Officer, Tufts Medicine; Co-Director, Informatics, Tufts CTSI
Joe Gormley, Director, Advanced Systems Development, Tufts CTSI
Lunch Break
12:00PM – 12:30PM EDT
Concurrent Breakouts – Session #1
12:30PM – 1:30PM EDT
“Getting started: Regulatory and ethical issues with AI health research “
Ludovic Trinquart, PhD, Director, Data Safety and Monitoring Board (DSMB) and Director, Center for Clinical Trials, Tufts CTSI
Garrett Gillespie, JD, CHIE, Chief Compliance Officer, Tufts Medicine
“How big is big data? Finding and managing data for AI research”
Abani Patra, PhD, Professor, Computer Science, Mathematics, Mechanical Engineering, Civil and Environmental Engineering, Tufts University School of Engineering
Joseph J. Frassica, MD, Executive Director, Informatics, Tufts CTSI
Tom Pollard, PhD, Research Scientist, MIT
Concurrent Breakouts – Session #2
1:35PM – 2:35PM EDT
“Best practices & challenges of doing AI research and building research teams”
Abani Patra, PhD, Professor, Computer Science, Mathematics, Mechanical Engineering, Civil and Environmental Engineering, Tufts University School of Engineering
Paola Sebastiani, PhD, Director, Biostatistics, Epidemiology, and Research Design (BERD) Center, Tufts CTSI
Isha Agarwal, MD, Epidemiologist and Emergency Medicine Physician, Maine Medical Center
“Putting your data to work. Analytics tools for AI research”
Kyle Monahan, MS, Part-time Lecturer, Gordon Institute, Tufts University School of Engineering
Joe Gormley, Director, Advanced Systems Development, Tufts CTSI
Closing Remarks
2:40PM – 3:00PM EDT
Get Social
Follow @TuftsCTSI and look for #TranslationalTufts2026 on X (formerly known as Twitter).
Contact
If you have questions or require additional assistance, please email training@tuftsctsi.org.