About
Omolola (Lola) Ogunyemi is the Director of 桃子视频鈥檚 Center for Biomedical Informatics (CBI) and a Professor in the Department of Preventive and Social Medicine. She is also a computer scientist and biomedical informatics researcher at 桃子视频. In addition, she holds an adjunct professorship in Radiological Sciences at the David Geffen School of Medicine at UCLA, where she collaborates with the Medical and Imaging Informatics group. Prior to joining 桃子视频 as Director of the Center for Biomedical Informatics, Dr. Ogunyemi served as a faculty member in the Department of Radiology at Brigham and Women鈥檚 Hospital and Harvard Medical School from 1999 to 2007. She was also an affiliated faculty member in the Harvard-MIT Division of Health Sciences and Technology from 2003 to 2007. Dr. Ogunyemi holds a B.A. in Computer Science from Barnard College, Columbia University, as well as an M.S.E. and Ph.D. in Computer and Information Science from the University of Pennsylvania.
Research Interests
Her research at the CBI focuses on novel biomedical informatics solutions for problems that affect medically underserved communities. Dr. Ogunyemi’s research interests include computerized medical decision support, reasoning under uncertainty, 3D graphics and visualization, and machine learning. Her work includes a National Library of Medicine (NLM)-funded study that utilizes both unsupervised machine learning and qualitative methods to study COVID-19 vaccination and testing hesitancy (with Sheba George and Lauren Daskivich). She has been principal investigator of an NLM-funded R01 study of machine learning approaches to identify safety net healthcare system patients with latent/undiagnosed diabetic retinopathy from electronic health records, on an NLM-funded R01 study of computerized decision support for penetrating trauma, and on a National Cancer Institute-funded R03 study of individualized breast cancer risk prediction using Bayesian networks.