Aug. 20, 2026
Levi Dial
Levi Dial is a PhD student specializing in geospatial data fusion, spatial analysis, machine learning, and deep learning across domains. He has applied these methods to projects in public health, journalism, finance, and agriculture. His current research focuses on improving the spatial and statistical representation of location-based public health data, both to increase the accuracy and quality of the data itself and to better capture complex relationships between locations in machine learning and deep learning models.
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…
Sep. 5, 2025
Jeong Wook Lee
I am interested in spatial analysis, particularly in how it can be applied to public health. My research goal is to explore the intersection between geospatial data and health outcomes, with a focus on understanding how physical and mental health issues are distributed across space.
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.
Dec. 28, 2016
Chi-Ren Shyu
Chi-Ren Shyu (he/him/his) is Director of MUIDSI, Associate Dean for Graduate Education and Strategic Initiatives, and Chair of the Executive Committee for the Mizzou Quantum Innovation Center. Dr. Shyu has organized and chaired technical program committees for several IEEE conferences, including IEEE HealthCom, IEEE BigMM, IEEE BIBM, and IEEE BIBE. He represents MU on the Southeast Conference (SEC) Artificial Intelligence Consortium and the Missouri Department of Higher Education and Workforce Development’s Advisory Committee for Building Missouri’s AI Talent Pipeline (2026). He is the PI of Mizzou’s NSF CyberCorps SFS project ($3.6M). Since joining MU in 2000, Dr. Shyu has…