Contact Information
605 E. Springfield Ave. #152CAB
Champaign, IL 61820
Research Interests
Applied and computational statistics
Biostatistics and bioinformatics
Robust and semiparametric statistical methods
Functional data
Quantitative image analysis
Education
PhD, Statistics, University of North Carolina at Chapel Hill, 1985
MS, Statistics, University of North Carolina at Chapel Hill, 1983
BA, Mathematics, Carleton College, 1980
Additional Campus Affiliations
Professor, Beckman Institute for Advanced Science and Technology
External Links
Recent Publications
McFarlin, B. L., Villegas-Downs, M., Mohammadi, M., Han, A., Simpson, D. G., & O'Brien, W. D. (2024). Enhanced identification of women at risk for preterm birth via quantitative ultrasound: a prospective cohort study. American Journal of Obstetrics and Gynecology MFM, 6(5), Article 101250. https://doi.org/10.1016/j.ajogmf.2023.101250
Villegas-Downs, M., Mohammadi, M., Han, A., O'Brien, W. D., Simpson, D. G., Peters, T. A., Schlaeger, J. M., & McFarlin, B. L. (2024). Trajectory of Postpartum Cervical Remodeling in Women Delivering Full-Term and Spontaneous Preterm: Sensitivity to Quantitative Ultrasound Biomarkers. Ultrasound in Medicine and Biology, 50(12), 1777-1784. https://doi.org/10.1016/j.ultrasmedbio.2024.06.015
Zuo, J., Simpson, D. G., O'Brien, W. D., McFarlin, B. L., & Han, A. (2024). Automated Field of Interest Determination for Quantitative Ultrasound Analyses of Cervical Tissues: Toward Real-time Clinical Translation in Spontaneous Preterm Birth Risk Assessment. Ultrasound in Medicine and Biology, 50(12), 1861-1867. https://doi.org/10.1016/j.ultrasmedbio.2024.08.011
Li, B., & Simpson, D. (2023). Reflections on the IDEA Forum—Statistics, Climate Change, and Sustainability. CHANCE, 36(1), 25-30. https://doi.org/10.1080/09332480.2023.2179273
McFarlin, B. L., Liu, Y., Villegas-Downs, M., Mohammadi, M., Simpson, D. G., Han, A., & O'Brien, W. D. (2023). Predicting Spontaneous Pre-term Birth Risk Is Improved When Quantitative Ultrasound Data Are Included With Historical Clinical Data. Ultrasound in Medicine and Biology, 49(5), 1145-1152. https://doi.org/10.1016/j.ultrasmedbio.2022.12.018