
2023 Suddath Symposium
"Biomedical Informatics and AI for Biodiscovery
and Healthcare"
March 15 - 16, 2023
Georgia Tech
Petit Biotech Building
315 Ferst Drive, Atlanta, GA
Suddath Seminar Room 1128
The 31st Annual Suddath Symposium brings together thought leaders and stakeholders from medicine, biology, data engineering, data science, industry, government, and young professionals to present state-of-art processes and emerging opportunities in advancing biomedical AI and intelligent reality for novel biological discoveries, for personalized, predictive, preventive, precision, and participatory medicine, and for digital health.
The Suddath Symposium is held annually to celebrate the life and contribution of F.L. "Bud" Suddath by discussing the latest developments in bioengineering and bioscience. The speakers include leading researchers from around the world, and the research topic changes each year. This highly-interactive symposium has been taking place for over 30 years and is supported by the Institute for Bioengineering and Bioscience at Georgia Tech.
Confirmed Suddath Speakers

Minh Thu "Alice" Ma
Suddath Award Winner Georgia Tech
"Development of Recombinant Antibodies for Detecting Multiple Conformational States of Glaucoma-associated Myocilin”

Srinivas Aluru, Ph.D.
Georgia Tech

Bin He, Ph.D.
Carnegie Mellon University
"AI for Mapping Brain Dynamics and Managing Intractable Epilepsy"

Saurabh Sinha, Ph.D.
Georgia Tech and Emory University
“Analytics for Spatial Transcriptomics at Sub-cellular Resolution”

Vimla L. Patel, Ph.D., DSc, FRSC
The New York Academy of Medicine
"Understanding Clinical Cognition’s Critical Role in the Future of Sustainable AI in Medicine"

Tansu Celikel, Ph.D.
Georgia Tech

Zhi-Pei Liang, Ph.D.
University of Illinois at Urbana-Champaign
"AI Meets Quantum Mechanics to Unravel Molecular Fingerprints of Brain Function and Diseases"

Anthony Chang, M.D., MBA, MPH
Children's Healthcare of Orange County
"Artificial Intelligence in Clinical Medicine and Healthcare the First Decade: Lessons Learned and Future Directions from a Clinician Data Scientist"

Anant Madabhushi, Ph.D.
Georgia Tech and Emory University
“Interpreter of Maladies: Applications of AI to Precision Medicine”

Omer Inan, Ph.D.
Georgia Tech
"Wearable Acoustic and Vibration Sensing Technologies for Human Health and Performance"
