The Invited Speakers

Dr. Victor De Oliveira is a professor in the Department of Management Science and Statistics in the Carlos Alvarez College of Business. He joined the UTSA faculty in 2006 and previously worked at the University of Arkansas and Simon Bolivar University. He holds a Ph.D. in statistics from the University of Maryland, and a master’s in water resources and a bachelor’s in mathematics from the Universidad Simon Bolivar. He is a Fellow of the American Statistical Association, and an Elected Member of the International Statistical Institute. He teaches a variety of undergraduate and graduate courses in Statistics and Applied Probability. 

Jenkins-Garrett Professor of Statistics and Data Science, University of Texas, Arlington.

Her research interest is in Bayesian Modeling and Learning, Statistics in Artificial Intelligence, and Statistical Learning. 

Professor and Department Chair, Statistics and Data Sciences, University of Texas Austin.

Calder’s research focuses on the development of statistical methodology for complex, structured data (e.g., statistical statistics, relational data).  She has made contributions in the areas of dimension reduction methodology for spatio-temporal data, the development of covariate-driven nonstationary spatial models, hierarchical pathways models for exposure assessment, data-augmentation algorithms for spatial generalized linear (mixed) models, efficient models or discrete spatial data, latent space models for relational data, and model-based comparisons of networks. 

Chair & Bettyann Asche Murray Distinguished Professor, Department of Biostatistics

University of Texas MD Anderson Cancer Center

His research focuses on Bayesian clinical trial design Statistical analysis of missing data and longitudinal data Mediation analysis Survey sampling.

Professor of Statistics, Associate Department Head University of Texas Dallas.

She has spent a major part of her career working on statistical models that shed light on who is most at risk for developing breast cancer.