Sep. 5, 2025
Temitope Eyinla
Temitope Eyinla is a PhD student in the MU Institute for Data Science and Informatics with an emphasis in health informatics. He plans to explore causal inference methods, particularly target trial emulation, and their applications to epidemiology and biomedical data, with a focus on chronic disease management and public health challenges such as cancer screening. Temitope holds a Bachelor’s in Mathematics from Adekunle Ajasin University, Nigeria, and an MSc. in Applied and Computational Mathematics and Statistics from the University of Notre Dame, USA. He brings over six years of experience in Data Analytics, with two years in the healthcare sector.
Sep. 5, 2025
Samrat Kumar Dey
I am a PhD student in Informatics specializing in Medical Informatics at the University of Missouri–Columbia, where I serve as a Graduate Research Assistant at the MU Institute for Data Science and Informatics in the Interdisciplinary Data Analytics and Search (iDAS) Lab. With more than nine years of teaching experience at the undergraduate level, I am currently on study leave from my role as Assistant Professor of Computer Science and Engineering. My research interests include Artificial Intelligence and Machine Learning for Healthcare, Agentic AI, Data Visualization, and Visual Reasoning, with a strong emphasis on disease predictive modeling, healthcare decision-making, and…
Sep. 5, 2025
Alina Rohulia
I am a PhD student in Bioinformatics with a Bachelor’s degree in Biomedical Engineering from the University of Missouri. My main scientific interest is autism spectrum disorder and I am studying how data science and artificial intelligence can be used to find reasons, trends, and outcomes in autistic population.
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
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…
June 18, 2025
Joe Emanuel
Joe Emanuel is a PhD Student in Informatics. His research interests include geospatial data privacy, differential privacy, and cybersecurity.
June 18, 2025
Maryam Seifaddini
I’m Maryam, a researcher focused on subgroup discovery and pattern mining in health data. My work centers on developing innovative, AI-driven methods to integrate and extract meaningful insights from diverse omics datasets.
Nov. 18, 2024
Chau Tong
My current research in computational health communication involves applying natural language processing and other computational methods to analyze the vicissitudes of user-generated health content and the diffusion of such content on social media. I direct the Computational Communication and Technology lab at Mizzou; our research team includes undergraduate RAs, graduate RAs, and PhD students. The lab is an interdisciplinary hub for the organization, curation, and processing of digital trace and social media data. Together, we develop and implement rigorous research to produce insights into the digital landscape of health content and estimated impact of such communication flows across news, search…