SC INBRE Data Science Core Seminar Series

Presented on Friday, January 23, 2026

Empowering Maternal Health with AI: Large Language Models for Coding and Reinforcement Learning for Resource Allocation

Dr. Yuhao Kang
Assistant Professor, Department of Geography and the Environment
Director, GISense Lab
The University of Texas at Austin

Dr.  Kang’s lab focuses on Human-centered Geospatial AI and GIS to understand human-environment relationships and address real-world challenges. He previously leveraged Large Language Models to support coding process of maternal health. He is currently developing a cutting-edge Reinforcement Learning to support maternal health resource allocation to inform policy, and measuring maternal care accessibility to identify underserved regions. 

Dr. Kang previously worked at the University of South Carolina, Google X and the MIT Senseable City Lab, and earned his PhD from the University of Wisconsin-Madison. 

He was the recipient of the Waldo-Tobler Young Researcher Award by the Austrian Academy of Sciences, CaGIS Rising Award, CPGIS Education Excellence Award, etc.  

For questions or more information, please contact our Data Science Co-Directors:

• Dr. Banky Olatosi, Associate Professor, USC Arnold School of Public Health Health Services Policy and Management, email 

• Dr. Jiajia Zhang, Professor, USC Arnold School of Public Health Epidemiology and Biostatistics, email