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NOW Registering and accepting abstracts: 17th annual SC INBRE Science Symposium – Sat, Feb 21, USC Columbia (Abstracts due Jan 23!!!)
SC INBRE Data Science Core
The Data Science Core (DSC) aims to increase the data science biomedical workforce in South Carolina by developing data science proficiency among faculty and students participating in biomedical research. This will occur through education, professional development (training), and resource and infrastructure enhancement to cultivate a data science driven research environment promoting interdisciplinary collaboration to address biomedical and health-related research questions. To this end, the Data Science Core is designed to support all data science and bioinformatics research activities within the SC INBRE network to advance cutting-edge biomedical research. The DSC will
promote and lead data science and bioinformatics training activities that enhance biomedical researchers’ analytical competencies
enhance biomedical researchers’ abilities to leverage and use high-performance and cloud computing via webinars, workshops, and trainings and
provide data science and bioinformatics services to help network faculty, particularly early career investigators, build their biomedical research programs.
Specifically, the DSC Core will create a one-stop shop for biomedical research data inventories, provide consulting services from experimental design to proposal development, while building data science capacity among SC INBRE researchers and students.
We will provide educational seminars, focused summer workshops, and research assistance to engage and prepare SC INBRE faculty and students to address data science-driven biomedical research problems.
The DSC will provide consulting services, biostatistical support, and guidance in accessing biomedical data repositories.
The core will facilitate access to data storage and computational resources needed for working with large biomedical datasets.
Friday, January 23, 2026, 12 to 1 pm ET, via Zoom
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 Core Director: Dr. Banky Olatosi, email
Managed by the Core director (Dr. Bankole “Banky” Olatosi) and Co-director (Dr. Jiajia Zhang), the DSC has assembled a team with extensive expertise in biostatistics, data science-engaged research, and success in leading centers and cores with missions compatible with the SC INBRE’s overarching goal of increasing the biomedical research capacity in the South Carolina by supporting faculty research and providing research training for undergraduate students.
The DSC will complement the Administrative Core in accelerating biomedical research within the statewide INBRE network.
Dr. Banky Olatosi
Core Director
Associate Professor
Health Services Policy and Management
University of South Carolina
Arnold School of Public Health
Multiple Principal Investigators (MPI) and
Co-Lead
Business/Entrepreneurship Hub
USC Big Data Health Science Center
(803) 777-9865
Dr. Olatosi will assume the overall responsibility for leading the Data Science Core, which includes overseeing the appropriate operation and functioning of Core strategies specified in the proposal. Dr. Olatosi will lead the efforts to create and streamline data acquisition processes, develop standardized operating procedures and processes, enable and enhance cross-disciplinary collaboration/engagement, and data science training.
Dr. Jiajia Zhang
Core Co-Director
Professor
Epidemiology and Biostatistics
University of South Carolina
Arnold School of Public Health
Co-Lead
Electronic Health Records Core
USC Big Data Health Science Center
(803) 777-4474
Dr. Zhang will serve as the lead biostatistician for the DSC and is familiar with leveraging data science for biomedical research. As data scientist, and lead biostatistician Dr. Zhang will work closely with Dr. Olatosi in all educational, service and training areas of the Core.
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