Rodney Sparapani

Rodney Sparapani, PhD, is an Associate Professor in the Department of Biostatistics at the Medical College of Wisconsin (MCW), affiliated with the Institute for Health & Humanity. He joined the faculty in December 2013 and serves on the Research Computing Center Faculty Advisory Committee. His expertise spans Bayesian methodology, machine learning, and nonparametric statistics applied to healthcare challenges such as survival analysis, causal inference, and big data/omics research.

Education:

• PhD in Biostatistics, Medical College of Wisconsin (2011)
• MS in Mathematics, Marquette University (1991)
• BS in Mathematics, Michigan Technological University (1989)

Research Focus: Dr. Sparapani’s work integrates Bayesian approaches to address modern biostatistical problems, including health services research, comparative effectiveness analysis, and computational challenges in large datasets. His collaborative projects span cancer treatment outcomes, cardiovascular disease, diabetes, and surgical interventions like spine surgery.

Recent Trends in Publications: His recent work emphasizes machine learning applications in donor selection for transplants, vascular health interventions, and systematic reviews of surgical techniques. Notable studies include the impact of singing on vascular function in coronary patients and the role of donor age in HCT outcomes.

Grants & Labs: While specific grants aren’t listed, his involvement with MCW’s Research Computing Center highlights computational infrastructure support for large-scale analyses.