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About the symposium
The St. Jude Knowledge in Data Science Symposium enriches the collaborative data science culture by sharing and brainstorming ways to gain the most valuable scientific knowledge from biomedical data. This event brings together biologists, clinicians, biostatisticians, computational biologists, bioinformaticians, image analysts, structural biologists, software engineers, and others, reflecting the inherently multidisciplinary nature of data science.
What to expect
- Expert Insights: Leaders from St. Jude and beyond share challenges they’ve encountered, solutions they’ve developed, and opportunities that remain in applying data science to biomedical research.
- Interactive Sessions: Developmental workshops, poster presentations, and collaborative discussions designed to spark innovation.
- Biohackathon Highlights: Explore solutions to pressing data science challenges developed by St. Jude Biohackathon teams.
- Lunchtime Panels: Engage with current topics shaping the future of biomedical data science.
Keynote highlights
Past keynote speakers have included thought leaders such as Dr. Faisal Mahmood (Harvard Medical School) and Vivek Natarajan (Google DeepMind), offering cutting-edge perspectives on data science in healthcare.
Hosted by St. Jude Children’s Research Hospital, this symposium is a cornerstone of our commitment to advancing data-driven discoveries that accelerate progress against pediatric catastrophic diseases.
Overview
Event: Knowledge in Data Science Symposium (KIDS26)
Date: November 16-18, 2026
Location:
St. Jude Children's Research Hospital
Memphis, Tennessee, USA
Virtual option available
Department host: Office of Data Science
Event contact:
Ariel Maclin
ariel.maclin@stjude.org
Registration deadlines & fees
This symposium will be hosted in a hybrid format, giving you the option to attend in-person or virtually. Registration is free.
Registration will open soon.
ODS: Data Science at St. Jude
The Knowledge in Data Science (KIDS) Symposium is part of the broader mission of the Office of Data Science at St. Jude to accelerate scientific discovery through data science, AI and cross-disciplinary collaboration.