An artificial intelligence and machine learning Expo at Florida State University

Florida State University will host the Artificial Intelligence and Machine Learning Expo on Friday, February 23, 2024, from 9 a.m. to 5 p.m. at the Challenger Learning Center in downtown Tallahassee. Featuring presentations from faculty, researchers, and students, the event will focus on how AI and machine learning technologies have been incorporated into the field of healthcare. This year’s expo will feature keynote speaker Yuan Luo, Ph.D., Director of the Institute for Artificial Intelligence in Medicine – Center for Collaborative AI in Healthcare of Northwestern University’s Feinberg School of Medicine.

Keynote Speaker

Yuan Luo, PhD

Director, Institute for Artificial Intelligence in Medicine
Center for Collaborative AI in Healthcare
Associate Professor of Preventive Medicine (Health and Biomedical Informatics)
McCormick School of Engineering and Pediatrics

Dr. Luo’s research interests include machine learning, natural language processing, time series analysis, integrative genomic analysis and big data analytics, with a focus on medical and clinical applications. He is the Chief AI Officer at the Northwestern University Clinical and Translational Sciences Institute (NUCATS) and at the Institute of Augmented Intelligence in Medicine (IAIM).

Speakers and Panel Presenters

Anke Meyer Baese, Professor
FSU Department of Scientific Computing

Dr. Meyer-Baese’s research interests include medical imaging with a focus on pattern recognition techniques applied to breast MRI, computer-aided diagnosis, fMRI data analysis; computational biology in the dynamic analysis of gene regulatory networks, graph theoretical concepts applied in therapeutics of glioblastoma, stem cells, and phosphoproteomics; and computational neuroscience of brain-based classification techniques, nonlinear stability analysis of cortical systems, and graph theory applied to cortical networks.

Cesar Rodriguez, Research Faculty I and Entrepreneur in Residence
FSU College of Medicine

Dr. Rodriguez’ research focus Dr. Rodriguez’s research focus is precision preventive medicine, specifically; health education, early diagnosis of medical conditions, and cell-based preventive therapeutics.

Emily Pritchard, Assistant Vice President of Academic Affairs
Health Innovation and Strategic Alliances, Florida State University

Dr. Pritchard has dedicated her efforts to fostering the university’s connection with Mayo Clinic, establishing a comprehensive collaboration agreement across the campus. In her new position, she has been entrusted with the task of broadening FSU’s involvement with Mayo as the university advances FSU Health—an initiative set to revolutionize healthcare provision in North Florida. This initiative encompasses the establishment of the Academic Health Center at the Tallahassee Memorial HealthCare campus and a healthcare campus in Panama City Beach. Pritchard brings valuable expertise in forging and nurturing strategic alliances that bridge the gap between industry and academia, particularly in the realm of health innovation. Before joining FSU, she founded a company specializing in aiding medical technology startups to create and introduce state-of-the-art medical devices, frequently stemming from breakthroughs in university research.

Jinfeng Zhang, Professor
FSU Computational Biology and Bioinformatics

Dr. Jinfeng Zhang completed his Ph.D. in the Department of Engineering at the University of Illinois at Chicago in 2004. Following that, he underwent postdoctoral training in the Department of Statistics at Harvard University from 2004 to 2007. In 2007, Dr. Zhang became a faculty member in the Department of Statistics at Florida State University. His research encompasses applications of computational methods and artificial intelligence in biology, including biological information extraction, biomedical knowledge graphs, and AI for Science.

Mei Liu, Associate Professor
UF Health Outcomes and Biomedical Informatics

Dr. Liu’s current research focus is on the development of novel machine learning and artificial intelligence techniques to accelerate risk factor identification and discovery in medicine using EHR data. Clinical applications of her research include adverse drug reaction, diabetic kidney disease, acute kidney injury (AKI), and sepsis predictions. She is the Principal Investigator for a NIDDK R01 project and an NSF Smart and Connected Health project that focus on the identification of personalized risk factors of AKI with personalized modeling and causal learning and building a secure and robust AKI prediction model with privacy-preserving federated transfer learning using EHR data from 11 PCORnet sites across 9 states.

Rickey Carter, PhD
Vice Chair, Department of Quantitative Health Sciences

Rickey Carter, PhD is Professor of Biostatistics at Mayo Clinic in Florida. He received his training in biostatistics at the Medical University of South Carolina and has over 20 years of experience with study design and analysis for clinical and translational research. Administratively, he serves as a Vice Chair for the Department of the Quantitative Health Sciences and as the Scientific Director for the Digital Innovation Lab, a machine learning shared resource on Mayo’s Florida campus. Dr. Carter has research interests that span clinical trial optimization to the development of digital biomarkers using machine learning techniques. He is an active collaborator and has over 375 peer reviewed publications.

Yonghui Wu, Associate Professor & Director of Natural Language Processing
University of Florida College of Medicine

Dr. Wu’s research interests include natural language processing (NLP), machine learning, computational drug repurposing, and applications of artificial intelligence (AI) technologies to electronic health records for clinical and translational research. He has published over 80 peer-reviewed papers and has been the principal investigator for grants from the National Institutes of Health (NIH) and Patient-Centered Outcomes Research Institute.


Friday, Feb. 23, 2024, 9 a.m. to 5 p.m.

8:30 a.m. – Coffee and Registration

9 a.m. – Welcome Remarks

Sam Huckaba, Dean, FSU College of Arts and Sciences 

Gordon Erlebacher, Director, Interdisciplinary Data Science

9:15 a.m. – Keynote Speech. “Harnessing AI to Complete the Bench-to-Bedside Loop in Healthcare” 

Yuan Luo, Director, Institute for Artificial Intelligence in Medicine - Center for Collaborative AI in Healthcare and Associate Professor of Preventive Medicine, McCormick School of Engineering and Pediatrics, Northwestern University

9:15 a.m. – Keynote Speech Q&A with Yuan Luo

10:15 a.m. – “Development and Evaluation of a Pediatric Rare Diseases Knowledge Hub

Cesar Rodriguez, Research Faculty I and Entrepreneur in Residence, FSU College of Medicine

10:15 a.m. – Q&A with Cesar Rodriguez

10:45 a.m. – Coffee Break 

11 a.m. – “Constructing A Large-Scale Biomedical Knowledge Graph and Its Applications in Drug Discovery

Jinfeng Zhang, Professor of Computational Biology and Bioinformatics, FSU Department of Statistics

11 a.m. – Q&A with Jinfeng Zhang

11:30 a.m. – “Large Language Models in Medicine and Healthcare: Opportunities and Challenges

Yonghui Wu, Associate Professor of Health Outcomes and Biomedical Informatics and Director of Natural Language Processing, University of Florida College of Medicine

11:30 a.m. – Q&A with Yonghui Wu

12-1:30 p.m. – Lunch Break

1:30 p.m. – Panel Discussion on Artificial Intelligence for Healthcare and Medicine

2:30 p.m. – “Cracking the Code: Understanding and Enhancing AI Model Transportability for AKI Prediction

Mei Liu,  Associate Professor of Health Outcomes and Biomedical Informatics, UF College of Medicine 

2:30 p.m. – Q&A with Mei Liu

3 p.m. – “Opportunities of Artificial Intelligence in Medicine: Promise and Ethical Considerations

Emily Pritchard, Assistant Provost, FSU

3:30 p.m. – “Graph Network Methods Applied to Brain Cancer Research”

Anke Meyer-Baese, Professor, FSU Department of Scientific Computing

4 p.m. – “AI Applications in Clinical Medicine: Challenges and Breakthroughs

Rickey Carter, Vice Chair, Department of Quantitative Health Sciences, Mayo Clinic

4 p.m. – Q&A with Ricky Carter


The event will take place in the Challenger Learning Center located at 200 S. Duval Street.

AIMLx Sponsors

College of Arts and Sciences
College of Communication and Information
Department of Computer Science
Department of Mathematics
Department of Scientific Computing
Department of Statistics
School of Information

Previous AIMLx Events