Jonathan Bradley, Associate Professor, and Associate Director, Center for Spatio-Temporal Statistics in AI, Department of Statistics and Data Science, University of Missouri. "Scalable AI-Calibrated Bayesian Hierarchical Models," October 15, 2026.

Michael Jones, Professor Emeritus, Department of Biostatistics, College of Public Health, University of Iowa. "Estimation in Two-Stage Linear Models Subject to Lower Limits of Quantification with Application to Environmental Toxicology," October 8, 2026.

Reetam Majumder, Assistant Professor of Statistics, Department of Mathematical Sciences, University of Arkansas. "Bayesian inference for bivariate extremes using semi-parametric representations of limit sets," September 17, 2026.

Priyam Das, Assistant Professor, Department of Biostatistics, School of Public Health, Virginia Commonwealth University. "Bayesian Univariate-Guided Sparse Regression for Ultra-High-Dimensional Data," September 10, 2026.

Patrick Breheny, Professor, Department of Biostatistics, College of Public Health, University of Iowa. "A New Perspective on High-Dimensional Intervals," September 3, 2026.

Sameer Deshpande, Assistant Professor, Department of Statistics, University of Wisconsin-Madison. "Bayesian Additive Regression Trees for Varying Coefficient Models," August 27, 2026.

Yuexi Wang, Assistant Professor, Department of Statistics, University of Illinois Urbana-Champaign. "Simulation-based Inference via Structured Score Matching," April 23, 2026.

Daniel Sewell, Professor of Biostatistics, College of Public Health, University of Iowa. "Relational Priors," April 16, 2026.

Shuoyang Wang, Assistant Professor, Department of Bioinformatics and Biostatistics, School of Public Health and Information Sciences, University of Louisville. "Deep Learning for Complex Functional Data Analysis," April 9, 2026.

Andee Kaplan, Associate Professor, Department of Statistics, Colorado State University. "Record Linkage for Streaming Data," April 2, 2026.

Muchao Ye, Assistant Professor, Department of Computer Science, University of Iowa. "Exploring the Adversarial Robustness of Language Models," March 26, 2026.

Ting-Hung Yu, Adjunct Assistant Professor, Department of Statistics and Actuarial Science, University of Iowa. "Transfer Learning for High-Dimensional Linear Stochastic Regression," March 12, 2026.

Heike Hofmann, Professor, Department of Statistics, University of Nebraska-Lincoln. "A Statistical Approach to the Same Source Problem in the Evaluation of Firearms Evidence," March 10, 2026.

Kyle Schindl, Assistant Professor, Department of Statistics, Iowa State University. "Distributional Discontinuity Design," March 5, 2026.

Qiuqi Wang, Assistant Professor, Maurice R. Greenberg School of Risk Science, Georgia State University. "Standard and comparative e-backtests for general risk measures," February 26, 2026.

Srijan Sengupta, Associate Professor, Department of Statistics, North Carolina State University. "Finding Anomalous Cliques in Inhomogeneous Networks using Egonets," February 19, 2026.

Lynn Lin, Associate Professor of Biostatistics & Bioinformatics, Duke University. "Learning from Multi-Resolution Biomedical Data," February 12, 2026.

Bryon Aragam, Associate Professor of Econometrics and Statistics and Robert H. Topel Faculty Scholar, Booth School of Business, University of Chicago. "From Storytelling to Simulation: Statistical Foundations of Causal AI," February 5, 2026.

Max Sampson, Postdoctoral Research Scholar, Department of Statistics and Actuarial Science, University of Iowa. "Using Highest Conditional Density Sets to Construct Sequential Conformal Prediction Regions with Time-series Data," January 22, 2026.

Nan Lin, Professor of Statistics and Data Science, and Professor of Biostatistics (School of Medicine), Washington University in St. Louis. "Navigating Big Data with Quantile Regression: Distributed and Online Methodologies," December 11, 2025.

Vytaras Brazauskas, Faculty Candidate for the Goebel Endowed Chair in Actuarial Science, and Professor and Associate Chair for Actuarial Science, Department of Mathematical Sciences, University of Wisconsin-Milwaukee. "Smoothing and Measuring Discrete Risks on Finite and Infinite Domains," November 20, 2025.

Guojun Gan, Faculty Candidate for the Goebel Endowed Chair in Actuarial Science, and Associate Professor, Department of Mathematics, University of Connecticut. "Using Large Language Models to Generate New Features from Text Data for Loss Prediction," November 13, 2025.

Stephen Berg, Assistant Professor of Statistics, Penn State University. "Statistical properties of initial sequence type variance estimators for reversible Markov chains," November 7, 2025.

Mario Ghossoub, Faculty Candidate for the Goebel Endowed Chair in Actuarial Science, and Associate Professor of Actuarial Science and Sun Life Fellow in International Actuarial Science, University of Waterloo. "Foundations for Pareto-Optimal Peer-to-Peer Risk Sharing," November 6, 2025.

Ryan Peterson, Associate Professor of Internal Medicine-Infectious Diseases, Carver College of Medicine, University of Iowa. "Glass-Box Models," October 30, 2025.

Tianxi Li, Associate Professor, and Director, Institute for Research in Statistics and its Applications (IRSA), School of Statistics, University of Minnesota Twin Cities. "Graph Release with Assured Node Differential Privacy," October 23, 2025.

Indranil Mukhopadhyay, Professor, Department of Statistics, University of Nebraska-Lincoln. "From Data to Insight: Statistical Modeling of Single-Cell RNA-seq Data and Testing Differentially Expressed Genes," October 16, 2025.

Xinwei Shen, Dorothy Gilford Early Career Endowed Professor in Mathematical Statistics, University of Washington. "Generalization Beyond Data: A Distributional Perspective," October 9, 2025.

Ning (Patricia) Ning, Assistant Professor, Department of Statistics, Texas A&M University. "Metropolis-adjusted Subdifferential Langevin Algorithm," September 25, 2026.

Yuan Liao, Tippie Children Professor in Economics, Tippie College of Business, University of Iowa. "Does Noise Hurt Economic Forecasts?" September 11, 2026.

Rafal Kulik, Professor, Department of Mathematics and Statistics, University of Ottawa. "Extremes for non-stationary time series," May 1, 2025.

Veronica Berrocal, Professor, Department of Statistics, University of California, Irvine. "Using Bayesian nonparametric ideas and spatial statistics for Earth Sciences applications," April 17, 2025.

Martin Grace, Clement T. and Sylvia Hanson Family Chair, Faculty Director, Vaughan Institute, and Professor of Finance, Tippie College of Business, University of Iowa. "Vicarious Learning Networks - Evidence from Insurance Price Filings," April 10, 2025.

Will Kleiber, Professor, Department of Applied Mathematics, University of Colorado. "Some Statistical Problems in the Geosciences," March 27, 2025.

Chunlin Li, Assistant Professor, Department of Statistics, Iowa State University. "Uncovering hidden causality from noisy complex data," March 13, 2025.

Mena Whalen, Assistant Professor, Department of Mathematics and Statistics, Loyola University Chicago. "Multivariate Change Point Detection: Applications in Historical Baseball Data and Methodological Advancements with Weighted Multivariate Change Points," March 6, 2025.

Jae-Kwang Kim, Professor, Department of Statistics, Iowa State University. "Debiased calibration estimation using generalized entropy under selection bias," February 27, 2025.

Abhi Datta, Associate Professor, Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health. "Machine learning for geospatial data with explicit modeling of spatial correlations," February 20, 2025.

Hao Chen, Associate Professor, Department of Statistics, University of California, Davis. "Change-point detection for modern complex data," February 13, 2025.

Ranjan Maitra, Professor, Department of Statistics, Iowa State University. "Fourier tensor-variate distributions for modeling nonstationarity in high-resolution imaging and other applications," December 5, 2024.

Shu Yang, Associate Professor of Statistics, University Faculty Scholar, Department of Statistics, North Carolina State University. "Enhancing Statistical Validity and Power in Hybrid Controlled Trials: A Randomization Inference Approach with Conformal Selective Borrowing," November 21, 2024.

Aixin Tan, Associate Professor, Department of Statistics and Actuarial Science, University of Iowa. "CONTRA: Conformal Prediction Region via Normalizing Flow Transformation," November 14, 2024.

Nan Zhu, Associate Professor of Risk Management, Smeal College of Business, The Pennsylvania State University. "Mortality Risks, Survival Pessimism, and Subjective Well-Being: Evidence from the Health and Retirement Study," November 7, 2024.

Dan Zhu, Professor, Department of Econometrics and Business Statistics, Monash University. "A Constrained Dynamic Nelson-Siegel Model for Monetary Policy Analysis," October 17, 2024.

Whitney Huang, Assistant Professor, School of Mathematical and Statistical Sciences, Clemson University. "Conditional Decomposition Approach for Modeling Multivariate Extreme Events," October 10, 2024.

Xueheng Shi, Assistant Professor, Departments of Statistics and Biological Systems Engineering, University of Nebraska-Lincoln. "Recent Advancements in Changepoint Analysis," September 26, 2024.

Mengxiao Zhang, Assistant Professor, Department of Business Analytics, Tippie College of Business, University of Iowa. "Robust and Adaptive Algorithm Design in Online Learning," September 19, 2024.

Hyunkeun (Ryan) Cho, Associate Professor, Department of Biostatistics, University of Iowa. "Longitudinal causal modeling: Exploring treatment initiation timing and its effects on outcomes," September 5, 2024.

Yulia Gel, Professor, Department of Mathematical Sciences, University of Texas at Dallas. “Topological Clustering of Multilayer Networks,” May 2, 2024.

Qiuyun Zhu, PhD, Faculty Candidate for Assistant Professor in Statistics; Faragher Distinguished Postdoctoral Fellow, School of Statistics, University of Minnesota. “A Statistical Perspective on Algorithm Unrolling Models for Inverse Problems,” April 30, 2024.

Kang Zhao, Professor, Henry B. Tippie Research Fellow, Department of Business Analytics, University of Iowa. “Hierarchy2vec — Representation Learning for the Prediction of Hierarchical Teams’ Performance,” April 25, 2024.

Won Chang, Associate Professor, Division of Statistics and Data Science, Department of Mathematical Sciences, University of Cincinnati. “Fast Computer Model Calibration using Annealed and Transformed Variational Inference,” April 4, 2024.

Bin Zou, Associate Professor, Department of Mathematics, University of Connecticut. “Strategic Underreporting and Optimal Deductible Insurance,” March 28, 2024.

Pulong Ma, Assistant Professor, Department of Statistics, Iowa State University. “Residual Treed Gaussian Processes,” March 21, 2024.

Chao Wang, Assistant Professor, Department of Industrial and Systems Engineering, University of Iowa. “Statistical Transfer Learning for Modeling, Monitoring, and Prognosis,”  March 7, 2024.

Kshitij Khare, Professor, Department of Statistics, University of Florida. “Scalable and non-iterative graphical model estimation,” February 29, 2024.

Tao Wang, Assistant Professor, Department of Economics, University of Victoria. “Distributed Learning for Kernel Mode-Based Regression,” February 22, 2024.

Likun Zhang, Assistant Professor, Department of Statistics, University of Missouri-Columbia. “Spatial scale-aware tail dependence modeling for high-dimensional spatial extremes,” February 15, 2024.

Buddhika W. Nettasinghe, Assistant Professor, Department of Business Analytics, Tippie College of Business, University of Iowa. “Extending Conformal Prediction to Hidden Markov Models with Exact Validity,” February 8, 2024.

Qiuyun Zhu, Postdoctoral Fellow, School of Statistics, University of Minnesota. “Minimax quasi-Bayesian estimation in sparse canonical correlation analysis via a Rayleigh quotient function,” February 1, 2024.

Andrew Thomas, Assistant Professor, Department of Statistics and Actuarial Science, University of Iowa. “Bayesian changepoint detection via logistic regression and the topological analysis of image series,” January 25, 2024.

Isabel Darcy, Associate Professor, Department of Mathematics, University of Iowa.  “Topological data visualization with mapper,” December 7, 2023.

Xinyu Zhang, Postdoctoral Researcher, Department of Statistics and Actuarial Science, University of Iowa. “Change Point Detection with Matrix-Variate Data: Leveraging and Adapting to Structured Mean Changes,” November 30, 2023.

Natalia Nolde, Professor, Department of Statistics, University of British Columbia. “Tail risk in the tail: Estimating high quantiles when a related variable is extreme,” November 16, 2023.

Jessi Cisewski-Kehe, Assistant Professor, Department of Statistics, University of Wisconsin-Madison. “Uncovering Hidden Worlds: Detecting Another Earth Amidst Stellar Variability,” November 9, 2023.

Chenglong Ye, Assistant Professor, Dr. Bing Zhang Department of Statistics, University of Kentucky. “Meta Clustering for Collaborative Learning,” November 2, 2023.

Joseph Antonelli, Assistant Professor, Department of Statistics, University of Florida. “A spatial interference approach to account for mobility in air pollution studies,” October 26, 2023.

Yichao Wu, TransUnion Professor, Department of Mathematics, Statistics, and Computer Science, University of Illinois at Chicago. “Partially-Global Fréchet Regression,” October 5, 2023.

Forrest Crawford, Associate Professor of Biostatistics, Statistics & Data Science, Operations, and Ecology & Evolutionary Biology, Yale University. “COVID-19 transmission models in the real world: models, data, and policy,” September 21, 2023.

Daniel Sewell, Associate Professor, Department of Biostatistics, University of Iowa. “Agglomerative and divisive hierarchical Bayesian clustering,” September 14, 2023.

Dale Zimmerman, Professor, Department of Statistics and Actuarial Science, University of Iowa. “In Defense of (Unrestricted) Spatial Regression,” September 7, 2023.

Wen Zhou, Associate Professor, Department of Statistics, Colorado State University. “High dimensional clustering via latent semiparametric mixture models,” May 4, 2023.

Jingshen Wang, Assistant Professor of Biostatistics, School of Public Health, University of California, Berkeley. “Adaptive Experiments Toward Learning Treatment Effect Heterogeneity,” April 20, 2023.

Emily Hector, Assistant Professor, Department of Statistics, North Carolina State University. “Functional Regression with Wearable Device Data: A New Lens through Data Partitioning,” April 13, 2023.

Yunzhang Zhu, Associate Professor, Department of Statistics, Ohio State University. “Model Complexity and Prediction Error in Modern Predictive Settings,” April 6, 2023.

Yinqiu He, Assistant Professor, Department of Statistics, University of Wisconsin-Madison. “Semiparametric Modeling and Analysis for Longitudinal Network Data,” March 30, 2023.

Guanyang Wang, Assistant Professor, Department of Statistics, Rutgers University, New Brunswick. “Unbiased Multilevel Monte Carlo methods for intractable distributions: MLMC meets MCMC,” March 23, 2023.

Alicia Carriquiry, Distinguished Professor and President's Chair, Department of Statistics, and Director of the Center for Statistics and Applications in Forensic Evidence, Iowa State University. “On the validity of forensic pattern comparison disciplines,” March 2, 2023.

Emily Roberts, Assistant Professor, Department of Biostatistics, University of Iowa. “Causal Inference and Surrogate Endpoint Validation Using Principal Stratification Methods,” February 9, 2023.

Mary Salvaña, Postdoctoral Researcher, Department of Mathematics, University of Houston. “3D Bivariate Spatial Modelling of Argo Ocean Temperature and Salinity Profiles,” December 12, 2022.

Oh-Ran Kwon, PhD Candidate, School of Statistics, University of Minnesota. “Multivariate Regression via the Enhanced Response Envelope: Envelope Regularization and Double Descent,” December 9, 2022.

Nathan Wikle, Postdoctoral Research Fellow, Department of Statistics and Data Science, University of Texas at Austin. “Causal inference for environmental health data: Estimating causal effects in the presence of spatial interference,” December 6, 2022.

Andrew Thomas, Postdoctoral Associate, Center for Applied Mathematics & Department of Statistics and Data Science, Cornell University. “Detection and hypothesis testing for extremely noisy nanoparticle videos using topological data analysis,” December 2, 2022.

Beste Basciftci, Assistant Professor, Department of Business Analytics, Tippie College of Business, University of Iowa. “Decision Making under Uncertainty: Data-Driven Optimization Perspectives,” December 1, 2022.

David Hunter, Professor, Department of Statistics, Penn State University. “Model-Based Clustering: Some Old Ideas, Some New Ideas, and Why It's Not Necessarily Bad to Have Your Work Declared Unconstitutional,” November 17, 2022.

Zhao Ren, Assistant Professor of Statistics, Dietrich School of Arts and Sciences, University of Pittsburgh. “Heteroskedastic Sparse PCA in High Dimensions,” November 10, 2022.

Guanyu Hu, Assistant Professor, Department of Statistics, University of Missouri-Columbia. “Spatial Homogeneity Learning via Nonparametric Bayesian Method,” November 3, 2022.

Hao Helen Zhang, Professor and Chair, Statistics and Data Science Graduate Interdisciplinary Program; Professor, Mathematics; Professor, Applied Mathematics GIDP, University of Arizona. “Scalable and Model-free Methods for Multiclass Probability Estimation,” October 27, 2022.

Bijaya Adhikari, Assistant Professor, Department of Computer Science, University of Iowa. “Spectral Optimization on Dynamic Networks for Diffusion Analysis,” October 13, 2022.

Cynthia Rudin, Professor of Computer Science, Electrical and Computer Engineering, Statistical Science, Mathematics, and Biostatistics & Bioinformatics; PI, Interpretable Machine Learning Lab, Duke University. “Do Simpler Machine Learning Models Exist and How Can We Find Them?” September 22, 2022.

Min Yang, Professor of Statistics, Department of Mathematics, Statistics, and Computer Science, University of Illinois-Chicago. “Information-Based Optimal Subdata Selection for Massive and Heterogeneous Data,” September 15, 2022.

Runze Li, Eberly Family Chair Professor, Department of Statistics, Penn State University. “Model-Free Conditional Feature Screening with FDR Control,” September 8, 2022.

Yi-Wei Liu, PhD Candidate, Department of Statistics, University of California – Davis. “Variations of Graph-based Change-point Detection,” May 3, 2022.

Fei Jiang, Assistant Professor, Department of Epidemiology and Biostatistics, University of California San Francisco. “Time-varying Dynamic Network Model for Dynamic Resting State Functional Connectivity in fMRI and MEG imaging,” April 14, 2022.

Galin Jones, Professor and Director, School of Statistics, University of Minnesota. “Reliable Component-wise Markov chain Monte Carlo,” April 7, 2022.

Kori Khan, Assistant Professor, Department of Statistics, Iowa State University. “Re-thinking Spatial Confounding in Spatial Linear Mixed Models,” March 31, 2022.

Martin Eling, Professor and Chair for Insurance Management, and Director, Institute of Insurance Economics, University of St. Gallen. “Is Cyber Risk Insurable?” March 10, 2022.

Ji Zhu, Susan A. Murphy Collegiate Professor of Statistics, Director of the PhD Program, Associate Chair, Department of Statistics, University of Michigan. “Fast Network Community Detection with Profile-Pseudo Likelihood Methods,” March 3, 2022.

Josh Zhiwei Tong, Assistant Professor, Department of Statistics and Actuarial Science, University of Iowa. “The Gradient Allocation Principle based on the Higher Moment Risk Measure,” February 24, 2022.

Yunan Wu, Assistant Professor in Statistics, University of Texas at Dallas, Mathematical Sciences. “Model-Assisted Uniformly Honest Inference for Optimal Treatment Regimes in High Dimension,” February 17, 2022.

Jie Ding, Assistant Professor, School of Statistics, University of Minnesota. “Interval Privacy: A New Framework for Privacy-Preserving Data Collection,” February 10, 2022.

Victor Veitch, Assistant Professor, Data Science and Statistics, University of Chicago, and Research Scientist, Google Cambridge. “Counterfactual Invariance to Spurious Correlations,” February 3, 2022.

Terrance Savitsky, Senior Research Mathematical Statistician, U.S. Bureau of Labor Statistics. “Bayesian Pseudo Posterior Mechanism under Asymptotic Differential Privacy,” December 2, 2021.

Cheng Li, Assistant Professor, Department of Statistics and Applied Probability, National University of Singapore. “Bayesian Fixed-domain Asymptotics for Covariance Parameters in a Gaussian Process Model,” November 18, 2021.

Ruodo Wang, Associate Professor and University Research Chair, Department of Statistics and Actuarial Science, University of Waterloo. “E-Backtesting Risk Measures,” November 11, 2021.

Nick Street, Henry B. Tippie Research Professor of Business Analytics and Associate Dean for Research and PhD Programs, Tippie College of Business, University of Iowa. “Inverse Classification: Better Algorithms for Better Decision Making,” November 4, 2021.

Sanvesh Srivastava, Assistant Professor, Department of Statistics and Actuarial Science, University of Iowa. “Asynchronous and Distributed Data Augmentation for Massive Data Settings,” October 28, 2021.

Hanwen Huang, Associate Professor of Epidemiology and Biostatistics, University of Georgia. “LASSO Risk and Phase Transition Under Dependence,” October 21, 2021.

Xu Shi, Assistant Professor, Department of Biostatistics, University of Michigan. “Theory for Identification and Inference with Synthetic Controls: A Proximal Causal Inference Framework,” October 7, 2021.

Kshitij Khare, Associate Professor, Department of Statistics, University of Florida. “Bayesian Inference in High-Dimensional Mixed Frequency Regression and VAR Models,” September 30, 2021.

Xiongtao Dai, Assistant Professor, Department of Statistics, Iowa State University. “Nonparametric Estimation of Repeated Densities with Heterogeneous Sample Sizes,” September 23, 2021.

Andee Kaplan, Assistant Professor, Department of Statistics, Colorado State University. “Error Propagation from Entity Resolution through the Downstream Task via a Bayesian Record Canonicalization Approach,” September 16, 2021.

Jian Huang, Professor, Department of Statistics and Actuarial Science, University of Iowa. “Generative Monte Carlo,” September 9, 2021.

Yuwen Gu, Assistant Professor, Department of Statistics, University of Connecticut. “Sparse Composite Quantile Regression in Ultrahigh Dimensions with Tuning Parameter Calibration,” May 6, 2021.

Bailey Fosdick, Associate Professor, Department of Statistics, Colorado State University. “Network Regression with Exchangeable or Block-exchangeable Errors,” April 29, 2021.

Andres Barrientos, Assistant Professor, Department of Statistics, Florida State University. “Differentially private methods for Bayesian model uncertainty in linear regression models,” April 22, 2021.

Jingshu Wang, Assistant Professor, Department of Statistics, University of Chicago. “Detecting Multiple Replicating Signals Using Adaptive Filtering Procedures,” April 8, 2021.

Vivekananda Roy, Associate Professor, Department of Statistics, Iowa State University. “Model based screening embedded Bayesian variable selection,” April 1, 2021.

Brenda Betancourt, Assistant Professor, Department of Statistics, University of Florida. “A Prior for Record Linkage Based on Allelic Partitions,” March 25, 2021.

Sylvain Arlot, Professor, Mathematics Department, University Paris-Saclay. “Analysis of some purely random forests,” March 18, 2021.

Steve Marron, Amos Hawley Professor, Department of Statistics and Operations Research, and Professor, Department of Biostatistics, University of North Carolina at Chapel Hill. “Data Integration Via Analysis of Subspaces (DIVAS),” March 11, 2021.

Xin Zhang, Associate Professor, Department of Statistics, Florida State University. “Canonical correlation analysis (CCA) in high dimensions,” November 19, 2020.

Xiaoxiao Sun, Assistant Professor, Department of Epidemiology and Biostatistics, University of Arizona. “Theory informs practice: smoothing parameters selection for smoothing spline ANOVA models in large samples,” November 12, 2020.

Daniel Sewell, Assistant Professor, Department of Biostatistics, University of Iowa. “Model-based edge clustering: Discovering the contexts in which we connect,” November 5, 2020.

Dale Zimmerman, Professor, Department of Statistics and Actuarial Science, University of Iowa. “The Middle-Seed Anomaly: Why Does It Occur in Some Sports Tournaments but Not Others?” October 29, 2020.

Grant Brown, Assistant Professor, Department of Biostatistics, University of Iowa. “Modelling the Enzootic Cycle of Borrelia burgdorferi for Planning and Evaluating Interventions,” October 22, 2020.

Jarad Niemi, Associate Professor, Department of Statistics, Iowa State University. “COVID-19 Forecast Hub,” October 15, 2020.

Weiyu Xu, Associate Professor, Department of Electrical and Computer Engineering and the Applied Mathematical and Computational Sciences program, University of Iowa. “Compressed Sensing for High-Throughput and Low-Cost (COVID-19) Virus Testing: A Mathematical Perspective of Mass Testing,” October 1, 2020.

Lan Luo, Department of Statistics and Actuarial Science, University of Iowa. “Renewable Estimation and Incremental Inference with Streaming Datasets,” September 17, 2020.

Russell Lenth, Professor Emeritus, Department of Statistics and Actuarial Science, University of Iowa. “Adventures in transformations,” March 12, 2020.

Montse Fuentes, Executive Vice President and Provost, Professor of Statistics and Actuarial Science and Biostatistics, University of Iowa. “Bayesian spatial tensor regression for neuroimaging,” March 5, 2020.

Lan Luo, Faculty Candidate for Assistant Professor in Data Science, Doctoral Candidate in Biostatistics, University of Michigan. “Renewable Estimation and Incremental Inference in Streaming Data Analysis,” February 18, 2020.

Guo Yu, Faculty Candidate for Assistant Professor in Data Science, Postdoctoral Research Associate, Department of Statistics, University of Washington. “Reluctant Interaction Modeling,” February 11, 2020.

Gabriel Becker, Faculty Candidate for Assistant Professor in Data Science, Consulting R Package Developer, SPA Data Analytics, Genentech, Inc., California. “The Extended Reproducibility Phenotype: Re-framing and Generalizing Computational Reproducibility,” January 30, 2020.

Jessi Cisewski-Kehe, Faculty Candidate for Assistant Professor in Data Science, Assistant Professor, Department of Statistics & Data Science, Yale University. “Analyzing Data Full of Holes: Topological Data Analysis,” January 28, 2020.

Isabel Darcy, Associate Professor, Department of Mathematics, University of Iowa. “Topological data analysis,” December 5, 2019.

Deborah Dawson, Professor of Biostatistics, Iowa Institute for Oral Health Research, Departments of Pediatric Dentistry & Biostatistics, and the Interdisciplinary Programs in Genetics and Informatics, University of Iowa. “The genetic origins of biometry,” November 21, 2019.

Joshua Tebbs, Professor and Chair, Department of Statistics, University of South Carolina. “Bayesian regression for group testing data,” November 14, 2019.

Yun Yang, Assistant Professor, Department of Statistics, University of Illinois at Urbana-Champaign. “Fast and optimal Bayesian inference via variational approximations,” November 7, 2019.

Milan Stehlik, Visiting Professor, Department of Statistics and Actuarial Science, University of Iowa. “New perspectives in cancer risk assessment,” October 31, 2019.

Yan Yan, Postdoctoral Research Associate, Department of Computer Science, University of Iowa. “Robust machine learning: From min problem to min-max and min-min problem,” October 24, 2019.

Ranjan Maitra, Professor, Department of Statistics, Iowa State University. “Kernel nonparametric overlap-based syncytial clustering,” October 17, 2019.

Guojun Gan, Assistant Professor, Department of Mathematics, University of Connecticut. “Variable annuity valuation: Challenges and potential solutions,” October 10, 2019.

Anru Zhang, Assistant Professor, Department of Statistics, University of Wisconsin-Madison. “Singular value decomposition for tensor data,” October 3, 2019.

Qihang Lin, Associate Professor and Henry B. Tippie Research Fellow, Tippie College of Business, University of Iowa. “Gradient-based optimization algorithms for solving a class of non-convex non-concave min-max problems,” September 19, 2019.

Xueyu Zhu, Assistant Professor, Department of Mathematics, University of Iowa. “Recent advances on multi-fidelity algorithms for uncertainty quantification of large-scale applications,” September 12, 2019.

Lizhen Lin, Huisking Foundation, Inc. Assistant Professor, Department of Applied and Computational Mathematics and Statistics, University of Notre Dame. “Hierarchical stochastic block model for community detection in multiplex networks,” May 9, 2019.

Sanvesh Srivastava, Assistant Professor, Department of Statistics and Actuarial Science, University of Iowa. “An asynchronous Distributed Expectation Maximization algorithm for massive data: The DEM algorithm,” April 11, 2019.

Colin Lewis-Beck, Visiting Assistant Professor, Department of Statistics and Actuarial Science, University of Iowa. “A hierarchical model for heterogenous reliability field data,” March 28, 2019.

Christopher Bilder, Professor, Department of Statistics, University of Nebraska-Lincoln. “What if?!” March 14, 2019.

Tieming Ji, Assistant Professor, Department of Statistics, University of Missouri. “A Bayesian hidden Markov model for detecting differentially methylated regions,” March 7, 2019.

Mathews Jacob, Associate Professor, Department of Electrical and Computer Engineering, University of Iowa. “Fast MRI using image structure learning,” February 28, 2019.

Joseph Lang, Professor and Chair, Department of Statistics and Actuarial Science, University of Iowa. “Slicing and dicing a path through the fiducial forest,” February 14, 2019.

Anya Prince, Associate Professor of Law and Member of the University of Iowa Genetics Cluster, College of Law, University of Iowa. “Should life insurers use an applicant’s genetic information?: Policy lessons from the UK, Australia, and Canada,” November 29, 2018.

Sanjib Basu, Paul Levy and Virginia F. Tomasek Professor of Biostatistics; Professor, Department of Mathematics Statistics & Computer Science; Director, Center for Biostatistical Development, School of Public Health, University of Illinois at Chicago. “Bayesian criterion based variable selection: Theoretical comparison and applications,” November 15, 2018.

Daniel Bauer, Associate Professor of Risk and Insurance, Hickman-Larson Chair in Actuarial Science, Department of Risk and Insurance, Wisconsin School of Business, University of Wisconsin-Madison. “An integrated approach to measuring asset and liability risks in financial institutions” with George Zanjani, November 8, 2018.

Kai Wang, Professor, Department of Biostatistics, College of Public Health, University of Iowa. “Effects of a treatment on the likelihood of a mediator and an outcome,” November 1, 2018.

Juan Pablo Hourcade, Associate Professor, Department of Computer Science, University of Iowa. “Designing the cognitive future,” October 11, 2018.

Michael Levine, Associate Professor, Department of Statistics, Purdue University. “Two component semiparametric density mixture with a known component: Estimation and applications,” October 4, 2018.

Luke Tierney, Ralph E. Wareham Professor of Mathematical Sciences, Department of Statistics and Actuarial Science, University of Iowa. “ALTREP: Alternate representations of basic R objects,” September 27, 2018.

Kung-Sik Chan, Robert V. Hogg Professor, Department of Statistics and Actuarial Science, University of Iowa. “Reduced-rank spectral classification with high-dimensional time-series data,” September 6, 2018.

Yuan Huang, Assistant Professor, Department of Biostatistics, College of Public Health, University of Iowa. “A joint learning of multiple precision matrices with sign consistency,” April 12, 2018.

Bo Li, Associate Professor, Department of Statistics, University of Illinois at Urbana-Champaign. “Spatially varying autoregressive models for prediction of new HIV diagnoses,” April 5, 2018.

Zheng (Tracy) Ke, Assistant Professor, Department of Statistics, University of Chicago. “A spectral approach to mixed-membership estimation,” March 29, 2018.

Po-Ling Loh, Assistant Professor, Department of Electrical and Computer Engineering, with secondary appointments in the Departments of Statistics, Computer Sciences, and Industrial & Systems Engineering, University of Wisconsin-Madison. “Statistical inference for infectious disease modeling,” March 22, 2018.

Nedret Billor, Professor, Department of Mathematics and Statistics, Auburn University. “Robust simultaneous inference for the mean function of functional data,” March 8, 2018.

Ole Forsberg, Assistant Professor of Mathematics–Statistics, Knox College. “The generalized Benford distribution,” February 15, 2018.

Boxiang Wang, Faculty Candidate for Assistant Professor in Computational Statistics, PhD Candidate, School of Statistics, University of Minnesota. “Modern classification with big data,” January 29, 2018.

Hyungsuk Tak, Faculty Candidate for Assistant Professor in Computational Statistics, Post-Doctoral Fellow, Statistical and Applied Mathematical Sciences Institute. “Astronomical time delay estimation via a repelling-attracting Metropolis algorithm,” January 25, 2018.

Leo Duan, Faculty Candidate for Assistant Professor in Computational Statistics, Post-Doctoral Associate, Department of Statistical Science, Duke University. “Probabilistic modeling of structure in complex data,” January 18, 2018.

Ya Su, Faculty Candidate for Assistant Professor in Computational Statistics, Post-Doctoral Research Assistant, Department of Statistics, Texas A&M University. “Nonparametric Bayesian deconvolution of a symmetric unimodal density,” January 16, 2018.

Vali Asimit, Reader in Actuarial Science, Cass Business School, City, University of London. “Optimal reinsurance and robust optimisation,” December 7, 2017.

Joseph E. Cavanaugh, Professor and Head of the Department of Biostatistics, University of Iowa. “Models for overdispersed count time series with excess zeros,” November 30, 2017.

Sanvesh Srivastava, Assistant Professor, Department of Statistics and Actuarial Science, University of Iowa. “Wasserstein barycenter and its application in distributed Bayesian inference,” November 16, 2017.

Tong Wang, Assistant Professor of Management Sciences, Henry B. Tippie College of Business, Member, Iowa Informatics Initiative, University of Iowa. “Learning to detect patterns of crime,” November 9, 2017.

Tim Hesterberg, Senior Statistician at Google. “Statistics and big data at Google,” October 31, 2017.

Hyunkeun Ryan Cho, Assistant Professor, Department of Biostatistics, College of Public Health, University of Iowa. “Statistical inference in a growth curve quantile regression model for longitudinal data,” October 26, 2017.

Han Li, Senior Research Associate, Australia-China Population Ageing Research Hub, ARC Centre of Excellence in Population Ageing Research (CEPAR), University of New South Wales Business School. “All about mortality modelling,” October 19, 2017.

Peng Shi, Associate Professor, Risk and Insurance Department, Wisconsin School of Business, Charles & Laura Albright Professor of Business and Finance, University of Wisconsin-Madison. “Multivariate longitudinal modeling of insurance claims using pair copula construction,” October 5, 2017.

Pierre-Olivier Goffard, Visiting Assistant Professor, Department of Statistics and Applied Probability, University of California-Santa Barbara. “Boundary crossing problems with applications to risk management,” September 21, 2017.

Dale Zimmerman, Professor of Statistics and Director of Graduate Studies, Department of Statistics and Actuarial Science, University of Iowa. “An outline analysis of the called strike zone in Major League Baseball,” September 14, 2017.

Simone Giannerini, Associate Professor, Department of Statistical Sciences "Paolo Fortunati," University of Bologna. “Small sample asymptotics for multinomial goodness-of-fit tests,” September 7, 2017.

Sharif Mahmood, Visiting Assistant Professor, Department of Statistics and Actuarial Science, University of Iowa. “Finding common support through largest connected components,” August 31, 2017.