Feb. 20, 2026
Changyu Sun
Dr. Changyu Sun specializes in data- and physics-driven imaging for cardiovascular disease. His work integrates generative AI–enhanced cardiac MRI with physics-guided, self-supervised learning to improve image quality, motion robustness, and quantitative assessment of cardiac function and perfusion. Using both human and large-animal models, his research aims to advance early detection and mechanistic understanding of cardiopulmonary disease.
Feb. 17, 2026
Hyeong Suk Na
Hyeong Suk Na is an assistant professor in the Department of Industrial and Systems Engineering at the University of Missouri, where he leads the Smart, Sustainable, and Resilient Systems (SSRS) Laboratory. He is also a core faculty member of the MU Institute for Data Science and Informatics (MUIDSI) and an affiliated faculty member of the MU Quantum Innovation Center (QIC). Prior to joining Mizzou, he served as the Ervin Pietz Assistant Professor in the Department of Industrial Engineering at the South Dakota School of Mines and Technology. Dr. Na earned his Ph.D. in Industrial Engineering and Operations Research from Pennsylvania…
Feb. 17, 2026
Tanu Malik
Tanu Malik is an associate professor in the Department of Electrical Engineering and Computer Science at the University of Missouri. Her research focuses on big data management, accountable and reproducible distributed and parallel systems and trustworthy AI. At Mizzou, she leads the RADIANT Lab, supported by funding from the National Science Foundation, the National Aeronautics and Space Administration, the Department of Energy and the Bloomberg Foundation. Her lab has pioneered innovative solutions in reproducible and accountable systems for trustworthy AI, benefiting scientists across multiple domains. Malik is a recipient of the NSF CAREER Award and a DoE Better Scientific Software…
July 7, 2025
Filiz Bunyak Ersoy
Filiz Bunyak Ersoy is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri. She is also a core faculty member of the MU Institute for Data Science and Informatics and the MU Materials Science & Engineering Institute. She earned her B.S. and M.S. degrees in Control and Computer Engineering from Istanbul Technical University, and her Ph.D. in Computer Science from Missouri University of Science and Technology. Dr. Bunyak Ersoy’s research focuses on image processing, computer vision, artificial intelligence, and machine learning, with applications in biomedical image analysis, material science, and visual surveillance.
July 2, 2025
Medeia Csoba DeHass
Medeia Csoba DeHass is an Associate Professor in the Department of Geography at the University of Missouri and a doctoral faculty member at the MU Institute for Data Science and Informatics. She teaches courses on decolonizing research methodologies, digital heritage preservation, research design, and collaborating with Indigenous communities. Dr. Csoba DeHass has been working with Alaska Native communities on a variety of ethnohistorical and ethnographic projects for the past two decades. She is the recipient of an NSF CAREER award supporting her research on Indigenous perspectives and applications of digital 3D technologies in preserving and perpetuating Alaska Native heritage in…
June 24, 2025
Fares Alahdab
Fares Alahdab, MD, MS, MSc, FAHA, is an associate professor of biomedical informatics, biostatistics, epidemiology and cardiology, and the director of graduate studies in health informatics at the University of Missouri School of Medicine. Dr. Alahdab’s clinical and research interests converge at the intersection of cardiovascular medicine, cardiometabolic health, advanced cardiovascular imaging and artificial intelligence. His work incorporates multimodal data sources to assess cardiovascular health and disease. In the research space, Dr. Alahdab applies machine learning and artificial intelligence to build predictive models that evaluate cardiovascular risk and outcomes. A central focus of his work is on explainable AI to…
June 24, 2025
Randi Foraker
Dr. Foraker is Professor and Chair of the Department of Biomedical Informatics, Biostatistics & Medical Epidemiology at the University of Missouri School of Medicine. She is trained as an epidemiologist and holds fellowships in the American Heart Association, American Medical Informatics Association, and the American College of Medical Informatics. Dr. Foraker specializes in the design of population-based studies and the integration of electronic health record data with socioeconomic indicators as well as the use of synthetic data for research. Her recent research has focused on the application of clinical decision support – embedded in the electronic health record – to…
June 23, 2025
Qian Liu
Dr. Liu received her Ph.D. degree of Earth System and Geoinformation Science in May 2022 from George Mason University (GMU). Her research focuses on four aspects: 1. Climate and atmospheric factor detection, segmentation, and retrieval using artificial intelligence (AI) technologies; 2. Spatiotemporal theories and analysis in big earth data; 3. Remote sensing and climate/environmental data record processing and generation; 4. The ability of using the above to solve pressing issues in extreme weather events, climate change and natural disasters.
June 23, 2025
James McClay
Dr. McClay is a professor in the newly organized Biomedical Informatics, Biostatistics, and Medical Epidemiology department at the University of Missouri. He is the Chief Research Informatics Officer for the School of Medicine and the Co-principal investigator for the Greater Plains Collaborative Research Network, a PCORnet Clinical Data Research Network. His research and advocacy focus on standardizing evidence-generation pipelines for learning health systems. Dr. McClay is a long-standing Health Level Seven (HL7) workgroup chair, instructor, and advocate for the HL7 FHIR specifications. He has practiced Emergency Medicine for 30 years and is a Fellow and informatics leader for the American…