I earned my PhD in Statistics and Operations Research from The Pennsylvania State University in 2010, with advisors Enrique del Castillo and James Rosenberger. I study and support the design and analysis of experiments, particularly in the context of biomedical research. My statistical research has focused largely on both the construction and analysis of screening designs, but also on response surface methods and statistical pedagogy. Much of my work involves applied optimization, and I also have worked in applied predictive modeling, statistical engineering, and data privacy.
For a curated list of papers, see my CV (updated 05/29/2026).
Smucker, B.J., Brennan, B., Rego, E., Wu, M., Lin, Z., Ahmer, B.M.M., Peterson, B.R. Design and Analysis Strategies for Pooling in High Throughput Screening: Application to the Search for a New Anti-Microbial. In revision. [arXiv preprint] [Supplementary Material]
Javid, K., Hodson, N., Mehaidli, A., Abbas, M., Smucker, B.J., Guthrie, B.J., and Weir, R.M. Collared Cementless Hemiarthroplasty Implants Do Not Demonstrate Increased Revision Rates or Periprosthetic Fractures When Compared to Cemented and Non-Collared Cementless Implants in Geriatric Patients. Submitted.
Acharya, P.C., Hugger, T., Smucker, B., Bagher-Ebadian, H., Brown, S.L., Nagaraja, T.N., Ding, G., Cabral, G., Knight, R.A., Ewing, J.R. Receiver Coil Amplitude Drift during DCE-MRI Signal Acquisition at 7T. Rejected with invitation to resubmit.
Weese, M.L, Smucker B.J., and Edwards, D.E. The use of cross validation in the analysis of designed experiments. Resubmitted. [arXiv preprint] [Supplementary Material]
Cui, M., Qi, K., Smucker, B., and Sundaramoorthi, D. A Multi-Objective Capacity-Constrained Optimization of Corn Planting Scheduling. Submitted. [arXiv preprint] [Supplementary Material]
Hunt, R.J., Knight, R.A., Ewing, J.R., Boyd, E.D., Penning, D., Smucker, B.J., Latack, K., Lee, I.Y., and Nagaraja, T.N., 1H MRI signal suppression-mediated imaging of spatial and temporal dispersion of deuterium oxide in brain following infusion into cisterna magna. Rejection with invitation to resubmit.
Smucker, B.J., Edwards, D.J., and Weese, M.L. (2026). Supersaturated Designs for Main Effects and Two-Factor Interactions. Quality and Reliability Engineering International, 42(1), 52-65. [Supplementary Material]
Smucker, B.J., Wright, S.E., Williams, I., Page, R.C., Kiss, A.J., Silwal, S.B., Weese, M., and Edwards, D.E. (2025). Large Row-Constrained Supersaturated Designs for High-throughput Screening. Biometrics, 81(4). [Supplementary Material]
Stallrich, J.W., Young, K., Weese, M.L., Smucker, B.J., and Edwards, D.J. (2025). An optimal design framework for lasso sign recovery. Journal of the Royal Statistical Society, Series B (Statistical Methodology).
Akubire Abugre, J. and Smucker, B.J. (2025). A Comparison of Supersaturated Designs and Orthogonal Arrays. Journal of Statistical Computation and Simulation, 95(9), 1928-1943. [pdf] [Supplementary Material]
Perez-Estrada, J.R., Tangeman, J., Proto-Newton, M., Sanaka, H., Smucker, B., and Del Rio-Tsonis, K. (2024). Metabolic States Influence Chicken Retinal Pigment Epithelium Cell Fate Decisions. Development, 151(15). [bioRxiv preprint]
Young, K., Weese, M.L., Stallrich, J.W., Smucker, B.J., and Edwards, D.J. (2024). A Graphical Comparison of Screening Designs using Support Recovery Probabilities. Journal of Quality Technology, 56(4), 355-368. [arXiv preprint]
Tsissios, G., Sallese, A., Perez-Estrada, J.R., Tangeman, J.A., Chen, W., Smucker, B., Ratvasky, S.C., Grajales-Esquivel, E., Martinez, A., Visser, K.J., Araus, A.J., Wang, H., Simon, A., Yun, M.H., Del Rio-Tsonis, K. (2024). Macrophages modulate fibrosis during newt lens regeneration. Stem Cell Research & Therapy 15, 141. [pdf] [statistical supplement]
Tsissios, G., Theodoroudis-Rapp, G., Chen, W., Sallese, A., Smucker, B., Ernst, L., Chen, J., Xu, Y., Ratvasky, S., Wang, H., and Del Rio-Tsonis, K. (2023). Characterizing the lens regeneration process in Pleurodeles waltl. Differentiation, 132:15-23. [bioRxiv preprint].
Smucker, B.J., Stevens, N.T., Asscher, J., and Goos, P. (2023). Profiles in the Teaching of Experimental Design and Analysis. Journal of Statistics and Data Science Education, DOI: 10.1080/26939169.2023.2205907. [pdf] [Supplemental Material]
Tangeman, J.A., Perez-Estrada, J.R., Van Zeeland, E., Liu, L., Danciutiu, A., Grajales-Esquivel, E., Smucker, B., Lian, C., and Del Rio-Tsonis, K. (2022). A stage-specific OTX2 regulatory network and maturation-associated gene programs are inherent barriers to RPE neural competency. Frontiers in Cell and Developmental Biology, section Molecular and Cellular Pathology, 10.3389/fcell.2022.875155.
Zhang, J., Kong, Y., Bailer, A.J., Zhu, Z., and Smucker, B.J. (2022). Incorporating Historical Data when Determining Sample Size Requirements for Aquatic Toxicity Experiments. Journal of Agricultural, Biological, and Environmental Statistics, 27:544-561.
Snyder, M. and Smucker, B.J. (2022). Metamodel Optimization of a Complex, Rural-Urban Emergency Medical Services System. Simulation Modelling Practice and Theory, 148, 10.1016/j.simpat.2022.102526. [pdf] [Supplemental Material]
Weese, M.L., Stallrich, J.W., Smucker, B.J., and Edwards, D.J. (2021). Strategies for Supersaturated Screening: Group Orthogonal and Var(s+) Designs. Technometrics, 63:4, 443-455, DOI: 10.1080/00401706.2020.1850529. [pdf] [Supplemental Material]
Chen, W., Tsissios, G., Sallese, A., Smucker, B., Nguyen, A.-T., Chen, J., Wang, H., and Del Rio-Tsonis, K. (2021). In vivo imaging of newt lens regeneration: Novel insights into the regeneration process. Translation Vision Science & Technology, 10:10. [pdf]
Smucker, B.J., Edwards, D.J., and Weese, M.L. (2021). Response Surface Models: To Reduce or Not to Reduce?. Journal of Quality Technology, 53:2, 197-216. [pdf] [Supplemental Material]
Kristoffersen, P. and Smucker, B.J. (2020). Model-robust design of mixture experiments. Quality Engineering, 32(4):663-675. [pdf] [Supplemental Material]
Liu, C. and Smucker, B.J. (2020). Leveraging Methods for Subsampling: Towards a Realistic Evaluation. Peer-reviewed presentation at Symposium on Statistics & Data Science (peer-reviewed extended abstract), Pittsburgh, June 3-6. [pdf]
Smucker, B., Krzywinski, M., and Altman, N. (2019). Points of Significance: Two-level factorial experiments (invited column). Nature methods, 16:211-212.
Smucker, B., Krzywinski, M., and Altman, N. (2018). Points of Significance: Optimal experimental design (invited column). Nature methods, 15(8):559-560.
Yousefi, A.M., Smucker, B.J., Naber, A.J., Wyrick, C.S., Shaw, C.H., Bennett, K., Szekely, S.E., and Focke, C.A. (2018). Controlling the extrudate swell in melt extrusion additive manufacturing of 3D scaffolds: a designed experiment. Journal of Biomaterials Science, Polymer Edition, 29(3):195-216.
Weese, M.L., Edwards, D.J., and Smucker, B.J. (2017). A Criterion for Constructing Powerful Supersaturated Designs when Effect Directions are Known. Journal of Quality Technology, 49(3):265-277. [pdf] [Supplementary Material]
Smucker, B.J., Jensen, W., Wu, Z., and Wang, B. (2017). Robustness of Classical and Optimal Designs to Missing Observations. Computational Statistics & Data Analysis, 113:251-260. [pdf] [Designs]
Ockuly, R., Weese, M.L., Smucker, B.J., Edwards, D.J, and Chang, L. (2017). Response Surface Experiments: A Meta-Analysis. Chemometrics and Intelligent Laboratory Systems. 164:64-75. [pdf] [Meta-Analysis Bibliography] [Meta-Analysis Datasets]
Uth, N., Mueller, J., Smucker, B., and Yousefi, A.-M. (2017). Validation of Scaffold Design Optimization in Bone Tissue Engineering: Finite Element Modeling versus Designed Experiments. Biofabrication. 9(1). [pdf]
Cao, Y., Smucker, B.J., and Robinson, T.J. (2017). A Hybrid Elitist Pareto-based Coordinate Exchange Algorithm for Constructing Multi-Criterion Optimal Experimental Designs. Statistics & Computing, 27, 423-437. [pdf]
Smucker, B.J. and Bailer, A.J. (2015). Beyond Normal: Preparing Undergraduates for the Work Force in a Statistical Consulting Capstone. The American Statistician, 69(4):300-306. [pdf of original submission] [Supplementary Material]
Zhang, X., Smucker, B.J., and Woffington, J. (2015) Statistics and Show Business: Shakespeare Meets Predictive Analytics. Chance, 28.2:4-12. [html] [pdf] [shiny app] [simplified dataset] [Cincinnati Business Courier article]
Smucker, B.J. and Drew, N.M. (2015). Approximate Model Spaces for Model-Robust Experiment Design. Technometrics, 57(1):54-63. [pdf] [Supplementary Material]
Cao, Y., Smucker, B.J., and Robinson, T.J. (2015). On using the hypervolume indicator to compare Pareto fronts: Applications to multiple optimal experiment design. Journal of Statistical Planning & Inference, 160:60-74. [pdf] [Supplementary Material]
Weese, M.L., Smucker, B.J., and Edwards, D.J. (2015). Searching for Powerful Supersaturated Designs. Journal of Quality Technology, 47(1):66-84. [pdf] [Supplementary Material]
Yousefi, A.-M., Szekely, S., Shaw, C., Reichenbach, K., Naber, A., Janney, C., Focke, C., Smucker, B. (2015). Extrusion-based Additive Manufacturing: The Effect of Extrudate Swell. Proceedings of SPE-ANTEC Conference, Orlando, FL, March 23-25.
Keane, B., Parsons, S., Smucker, B.J., and Solomon, N.G. (2014). Length polymorphism at the avpr1a locus is correlated with male reproductive behavior in a natural population of prairie voles (Microtus ochrogaster). Behavioral Ecology and Sociobiology, 68(12):1951-1964. [pdf]
Webb, J., Smucker, B.J. and Bailer, A.J. (2014). Selecting the best design for nonstandard toxicology experiments. Environmental Toxicology and Chemistry, 33(10):2399-2406. [docx] [figures] [tables]
Wright, S.E. and Smucker, B.J. (2014). Rapid calculation of exact cell bounds for contingency tables from conditional frequencies. Computers and Operations Research. 52:113-122. [pdf]
Wright, S.E. and Smucker, B.J. (2013). An intuitive formulation and solution of the exact cell-bounding problem for contingency tables of conditional frequencies. Journal of Privacy and Confidentiality. 5(2):133-156. [pdf] [code]
Smucker, B.J. (2012). Discussion of ”Optimum design of experiments for statistical inference” by Gilmour and Trinca. Journal of the Royal Statistical Society: Series C (Applied Statistics). 61(3):345-401.
Smucker, B.J., del Castillo, E., and Rosenberger, J.L. (2012). Model-Robust Designs for Split Plot Experiments. Computational Statistics and Data Analysis, 56(12):4111-4121. [pdf] [Supplementary Material]
Smucker, B.J., del Castillo, E., and Rosenberger, J.L. (2012). Model-Robust Two-Level Designs Using Coordinate Exchange Algorithms and a Maximin Criterion. Technometrics, 54(4):367-375. [pdf] [Supplementary Material]
Smucker, B.J., Slavković, A., and Zhu, X. (2012). Cell Bounds in k-way Tables Given Conditional Frequencies. Journal of Official Statistics, 28(1):121-140.
Smucker, B.J., del Castillo, E., and Rosenberger, J.L. (2011). Exchange Algorithms for Constructing Model-Robust Experimental Designs. Journal of Quality Technology. 43(1):28-42. [pdf].
Smucker, B.J., Lorantas, R., and Rosenberger, J.L. (2010). Correcting Bias Introduced by Aerial Counts in Angler Effort Estimation. North American Journal of Fisheries Management, 30(4):1051-1061.
Smucker, B. and Slavković, A (2008). Cell bounds in two-way contingency tables based on conditional frequencies. In Domingo-Ferrer, J. and Saygin, Y., editors, Privacy in Statistical Databases 2008 Lecture Notes in Computer Science, volume 5262, pages 64-76. Springer-Verlag, Berlin Heidelberg.
Logendran, R., McDonell, B., and Smucker, B. (2007). Scheduling unrelated parallel machines with sequence-dependent setups. Computers and Operations Research, 34(11):3420-3438.
Smucker, B.J. (2010). By Design: Exchange Algorithms to Construct Exact Model-Robust and Multiresponse Experimental Designs. Ph.D. Dissertation, The Pennsylvania State University.
Smucker, B.J. (2007). Calculating Cell Bounds in Contingency Tables Based on Conditional Frequencies. Master’s Thesis, The Pennsylvania State University.