Update Your ProfileAcademic Title:
Professor
Primary Appointment:
Epidemiology & Public Health
Administrative Title:
Director, University of Maryland Marlene & Stewart Greenebaum Comprehensive Cancer Center Biostatistics Shared Resource Center
Education and Training
PhD, Statistics, Carnegie Mellon University
MS, Statistics, Carnegie Mellon University
BS, Mathematics, University of California, Berkeley
Biosketch
Dr. Curt Tatsuoka is Professor in the Department of Epidemiology and Public Health at the University of Maryland School of Medicine and Director of the Biostatistics Shared Resource at the Greenebaum Comprehensive Cancer Center. He is an internationally recognized biostatistician with expertise in advanced statistical methods and their application to complex biomedical and population health research.
Dr. Tatsuoka provides leadership in quantitative sciences for cancer research, supporting multidisciplinary teams across basic, translational, and clinical oncology. His work contributes to the design and analysis of cancer studies, including clinical trials, biomarker discovery, and high-dimensional data analysis. Through his role at the Cancer Center, he collaborates with investigators to develop innovative analytic approaches that strengthen study design, data interpretation, and overall research impact.
In addition to his contributions to cancer research, Dr. Tatsuoka’s scholarship focuses on neurodegenerative diseases, including Alzheimer’s disease. He develops statistical models to better understand disease progression and improve predictive accuracy, integrating clinical, imaging, and biomarker data to advance precision medicine approaches.
Research/Clinical Keywords
Biostatistics; Cancer research; Clinical trials; Biomarker analysis; Big data analytics; Neurodegenerative diseases; Alzheimer’s disease; Longitudinal data analysis; Predictive modeling; Precision medicine.
Highlighted Publications
Wang GM and Tatsuoka C, “Bayesian Ordered Lattice Design for Phase I Clinical Trials,” Statistics in Medicine 45, no. 6-7 (2026): e70456, https://doi.org/10.1002/sim.70456.
Chen W, Qi H, Tatsuoka C, Lu X (co-corresponding). SBMGT: Scaling Bayesian Multinomial Group Testing. PPoPP '25: Proceedings of the 30th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming. 2025 February 28; :512-523. https://doi.org/10.1145/3710848.37108
Tatsuoka C, Chen W, Lu X. Bayesian group testing with dilution effects. Biostatistics. 2023 Oct 18;24(4):885-900. PubMed Central PMCID: PMC10583721.