AIMLx27: Personalized AI

Feb. 26, 2027, 9:00 am

– Feb. 27, 2027, 2:00 pm

Challenger Learning Center

About the Event

Florida State University’s Artificial Intelligence and Machine Learning Expo, AIMLX2027, will take place Friday, Feb. 26, 2027 at the Challenger Learning Center of Tallahassee planetarium. This year’s theme, Personalized AI, will explore how artificial intelligence can be tailored to individuals — their needs, goals, preferences, and circumstances — with applications spanning education, healthcare and everyday work.

Under the framing “Personalized AI in Practice: Tutors, Clinicians, Copilots,” the event will examine the opportunities and challenges of AI systems designed to support people as individuals. Topics of interest include tutors that adapt to a learner’s understanding, tools that support personalized health care, and AI assistants that work alongside people in professional and research settings. These discussions will also address essential questions about privacy, reliability, user control, and how to evaluate whether personalization delivers meaningful benefits.

AIMLX2027 builds on the series’ recent exploration of AI in education in 2025 and AI agents in 2026, bringing these threads together around a common question: How can AI better serve the individual while keeping people informed and in control? The event will provide a forum for researchers, educators, students, and practitioners to exchange ideas, connect across disciplines, and examine the practical implications of personalized AI.

About the Speakers

Keynote Speaker

Jonathan H. Chen

Director of Medical Education in Artificial Intelligence, Stanford Center for Biomedical Informatics Research
Associate Professor of Medicine (Computational Medicine) and Biomedical Data Science, Stanford University

Jonathan H. Chen M.D., Ph.D. leads a clinical informatics research group to empower individuals with the collective experience of the many, combining human and artificial intelligence to deliver better care than either alone. He also serves as director of Medical Education in Artificial Intelligence for Stanford University Medicine. Before his medical training, Dr. Chen co-founded a company to translate his computer science graduate work into an expert system used by people around the world. He continues to practice medicine for the concrete rewards of caring for real people and to inspire his work to advance not just the science and technology, but to redefine how we train — and retrain — an entire generation of the healthcare workforce to safely and effectively integrate intelligent systems to reach all patients in need. His expertise is featured in the popular press with over 100 research publications and awards from the National Institutes of Health, Advanced Research Projects Agency for Health, American Medical Informatics Association, International Brotherhood of Magicians and more.

Jonathan L. Adams

Professor Emeritus, FSU College of Communication and Information
Director, CCI Machine Learning Lab

Jonathan L. Adams, Ph.D. is professor emeritus in Florida State University's College of Communication and Information and director of the CCI Machine Learning Lab. His work focuses on learning technologies, artificial intelligence, and the future of education. He explores how emerging technologies are transforming teaching, learning, credentialing and workforce development. His AIMLX27 presentation examines how AI may accelerate a transition from traditional lecture-based instruction toward more learner-centered educational models.

Delaney W. La Rosa

Teaching Professor
Florida State University College of Nursing

Delaney W. La Rosa, Ed.D., MSN Ed., RN, is a teaching professor in artificial intelligence in healthcare and AI program track coordinator in Florida State University's College of Nursing. Her work focuses on integrating artificial intelligence into healthcare education and practice through responsible, equitable, and evidence-based approaches. She is the author and editor of scholarship examining nursing education in the AI era and explores how AI literacy and discernment can support effective decision-making across healthcare environments.

Oliver Steinbock

Professor of Chemistry
FSU Department of Chemistry and Biochemistry

Oliver Steinbock is a professor of chemistry at Florida State University whose research explores complex chemical systems, pattern formation, and innovative approaches to scientific discovery. His AIMLX27 presentation examines how artificial intelligence is enabling personalized approaches to chemistry, including chemical analysis, health monitoring, education and scientific research. His work highlights how AI can tailor chemical applications and learning experiences to individual users while raising important questions about privacy, reliability and access.

Christian Hubicki

Associate Professor
FAMU-FSU College of Engineering, Department of Mechanical and Aerospace Engineering

Christian Hubicki, Ph.D., is an associate professor of mechanical and aerospace engineering at the FAMU-FSU College of Engineering and leads research in robotics, bipedal locomotion, optimal control, and biomechanical modeling. He earned his Ph.D. from Oregon State University and directs research focused on enabling legged robots to move with the speed, maneuverability and stability seen in animals. His work combines robotics, control systems, and biomechanics to advance the capabilities of autonomous machines.

Michael Wolfe

Director of AI Research Solutions
FSU Information Technology Services

Michael Wolfe is Director of AI Research Solutions at Florida State University. His scholarship spans gene regulation, machine learning, and the application of artificial intelligence to scientific research. With a background in computational and molecular biology, he has authored widely cited research on transcriptional regulation, RNA biology, bacterial genomics, and data-driven discovery. His current work focuses on helping researchers apply AI and advanced computational methods to accelerate scientific innovation across disciplines.

Schedule

Day 1: Friday, Feb. 26 — All Talks Held in the Planetarium

8:30-9 a.m. – Coffee and Registration

9-9:15 a.m. – Welcome Remarks
Sam Huckaba, dean, FSU College of Arts and Sciences; Alan Hanstein, director, Challenger Learning Center; and Gordon Erlebacher, director, FSU Interdisciplinary Data Science Program

9:15-10:15 a.m. – Keynote Speech: “AI in Medicine: Real Magic or Technological Illusions?”
Jonathan Chen, associate professor of medicine (computational medicine) and of biomedical data science at Stanford University, director for medical education in artificial intelligence at Stanford Center for Biomedical Informatics Research

10:20-10:50 a.m. – “AI Discernment for Responsible Healthcare Innovation”
Delaney De La Rosa, teaching professor, FSU College of Nursing

10:50-11:15 a.m. – Coffee Break
Please join us in the main lobby

11:15-11:45 a.m. – “People-centered Infrastructure for AI-accelerated Science”
Michael Wolfe, director of AI Research Solutions, FSU Information Technology Services

11:45 a.m. to 1:15 p.m. – Lunch Break

1:15-1:30 p.m. – Eddie Gonzalez Loumiet, chief executive officer, Ruvos

1:30-3 p.m. – Panel Discussion on Personalized AI

3:05-3:35 p.m. – “The Paideia Proposal Revisited: From Sage on the Stage to Guide on the Side”
Jonathan Adams, professor, FSU School of Information

3:40-4:10 p.m. – “Same Equation, Different Song: Personalized AI in Chemistry”
Oliver Steinbock, Cottrell Family Professor, FSU Department of Chemistry and Biochemistry

4:15-4:45 p.m. – Talk title TBD
Christian Hubicki, associate professor, Department of Mechanical Engineering, FAMU-FSU College of Engineering

4:45 p.m. – Closing Remarks
Gordon Erlebacher, director, FSU Interdisciplinary Data Science Program

Day 2: Saturday, Feb. 27

10-11 a.m. – Hands-On Activities in CLC Exhibit Hall

11 a.m. to 12 p.m. – “Ask Me Anything About AI” with FSU faculty member Gordon Erlebacher in the Planetarium

12-2 p.m. – Hands-On Activities in the STEAM Labs