Seongho Song

Seongho Song is a Professor and Undergraduate Program Director in the Department of Mathematical Sciences at the University of Cincinnati. He holds a Ph.D. in Statistics from the University of Connecticut (2005). His research focuses on Bayesian statistical methods, biostatistics, and computational biology, with applications in genetics, environmental science, and healthcare. Song has led or collaborated on grants totaling over $4.7M, including projects funded by DARPA, NIH, and the Korea Institute of Ocean Science and Technology.

• Education: Ph.D. in Statistics, University of Connecticut (2005)
• Positions: Assistant (2005-2011) → Associate (2011-2019) → Full Professor (2019–Present)

Research interests include Bayesian hierarchical models, longitudinal data analysis, and bioinformatics. He has published over 30 peer-reviewed articles in journals like Biostatistics, Frontiers in Genetics, and Journal of Productivity Analysis. Recent work involves modeling circadian rhythms, lung disease progression, and oceanographic systems.

Teaching responsibilities include graduate courses in Bayesian analysis, statistical computing, and linear models. He has served on editorial boards for Sankhya Series B and IEEE Transactions on Computational Biology, and chairs the EAC-ISBA Special Interest Group.