Shaping Careers in the Age of AI: Voices, Paths, and Perspectives
As large language models (LLMs) continue to reshape research and innovation, the ISBI community is reflecting on how these technologies may influence the field. Across biomedical imaging, machine learning, and clinical applications, AI is transforming not only what we study, but also how we work and grow professionally.
This Diversity Lunch panel brings together leaders from diverse backgrounds and career paths to share their journeys, key decisions, and lessons learned. Panellists will offer insightful reflections on opportunities, uncertainties, and how they envision the future of our field in a rapidly evolving AI landscape.
Join us for an open and informal conversation about careers, change, and the diverse paths that shape our community.
Panelists
Chen Chen
University of Sheffield
Shikha Dubey
J&J Innovative Medicine
J. Eugenio Iglesias
MGH & Harvard Medical School
Christian Ledig
University of Bamberg
Diana Mateus
École Centrale Nantes
Sparkle Russell-Puleri
Gilead Sciences
Hongxu Yang
GE Healthcare