Webinar: Application of Artificial Intelligence for Behavioral Intervention: Opportunities and Limitations

ASPO’s Behavioral Science and Health Communication SIG is hosting the webinar titled Application of Artificial Intelligence for Behavioral Intervention: Opportunities and Limitations on October 22, 2024 at 1 pm Eastern Time. Register for the webinar!

Speaker bios:

Dr. Jina Huh-Yoo is an Associate Professor at Stevens Institute of Technology. Her research areas are human-computer interaction (HCI), social computing, and health informatics. Her work has been supported by the National Institutes of Health and the National Science Foundation. Her ongoing research efforts include understanding, designing, and evaluating generative AI (GAI) systems and how GAI can support health through social connectedness. She has published her work in premier journals and conference venues, including CHI, CSCW, AMIA, JMIR, JBI, and IJMI. Her work has been funded by NLM, NSF, and AHRQ regarding improving online health information quality, family wellness, and support for caregiving and older adults. She completed a postdoctoral fellowship from the University of Washington Medicine and a PhD in Information from the University of Michigan.

Sarah Mullin is an Assistant Professor in the Biostatistics & Bioinformatics Department and the Director of Biomedical Research Informatics Shared Resource at Roswell Park Comprehensive Cancer Center with research primarily in the immunotherapy and survivorship domains. She is passionate about modeling information contained in the electronic health record, health data repositories, and patient reported outcomes with external data sources, such as terminologies and ontologies. Dr. Mullin has focused on natural language processing extraction of chemicals/drugs, symptoms, psychosocial stressors, and immune-related adverse events. Additionally, her research has spanned using machine and deep learning in conjunction with terminological and ontological information, adverse event prediction given drug-drug polypharmacy interactions, and analysis and synthesization of multiple sources of data in heterogeneous formats. Her training includes a postdoctoral fellowship at the Yale Center for Medical Informatics, a PhD in Biomedical Informatics from the SUNY University at Buffalo, and a MS in Statistics from the Ohio State University. She has also industry experience as a data manager and statistician in rehabilitation medicine and clinical psychology.