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The invited Contributed Oral Speakers
Contributed Talks
Dr. Rakheon Kim
Dr. Rakheon Kim
Assistant Professor of Statistics Baylor University.
His primary research focuses on covariance matrix estimation, network analysis, variable selection and interaction model in high dimensional settings and their application to neuroscience, biostatistics, finance and actuarial science.
Dr. Steven Chiou
Dr. Steven Chiou
Assistant Professor of Statistics and Data Science, Southern Methodist University.
Prior to joining SMU, He had been an Assistant Professor at UT Dallas, a Postdoctoral Fellow at Harvard T.H. Chan School of Public Health, and an Assistant Professor at the University of Minnesota Duluth. He is passionate about understanding challenges in survival analysis, guiding data-driven clinical studies, and exploring cutting-edge computing methodologies.
Dr. Suneel Chatla
Dr. Suneel Chatla
Assistant Professor of Data Science, University of Texas El Paso.
His research interest include Nonparametric models, High-dimensional data, Generalized linear models.
Dr. Hyunwoong Chang
Dr. Hyunwoong Chang
Assistant Professor of Statistics, University of Texas Dallas.
His research intererest include Structure learning of DAG models, Markov chain Monte Carlo (MCMC), Bayesian statistics.
Dr. Marcin Jurek
Dr. Marcin Jurek
Assistant Professor in Statistics and Data Science Southern Methodist University.
His current research is in computational methods in spatial statistics. He used approximations of Gaussian processes to construct scalable methods for working with big data sets.
Dr. Wei Jiang
Dr. Wei Jiang
Assistant Professor in the Department of Mathematics and Division of Data Science at the University of Texas at Arlington.
Dr. Jiang has general interests in developing dependable and scalable data science methods by integrating statistical, machine learning, informatic, and computational theories, with applications in biomedical research.
Dr. Zewei Lin
Dr. Zewei Lin
Assistant Professor in the Department of Information Systems and Analytics at Texas State University.
His research focuses on developing statistical/machine learning methods to address the multifaceted challenges associated with model transparency . The goal is to understand the inner workings of complex models, thereby promoting more transparent, trustworthy, and interpretable data-driven decision-making models .
Dr. Yeonjoo Park
Dr. Yeonjoo Park
Assistant Professor in the Department of Management Science and Statistics at The University of Texas at San Antonio.
Her primary research interests center on modeling and analysis of functional data. She is especially interested in developing statistical methodologies and theoretic understanding for irregular functional data where functional samples are collected over varying grids or domains.
Dr. Zhuanzhuan Ma
Dr. Zhuanzhuan Ma
Assistant Professor, University of Texas Rio Grande Valley
Her current research interests focus on Bayesian statistics, computational statistics, and high-dimensional inference, aimed at addressing emerging challenges across a wide range of applications. I am also open to interdisciplinary research collaborations.
Dr. Christine Peterson
Dr. Christine Peterson
Associate Professor of Biostatistics, The University of Texas MD Anderson Cancer Center.
Her research focuses on statistical methods for understanding high-throughput biological data, including microbiome, imaging, and genomics. Major themes in her work include feature selection, network inference, and Bayesian modeling.
Dr. Scott Bruce
Dr. Scott Bruce
Assistant Professor of Statistics Texas A & M University.
He is passionate about creating novel computationally-efficient statistical methods for the analysis of time series and longitudinal data in areas such as sleep research, neuroscience, and psychiatry.
Dr. Meng Li
Dr. Meng Li
Noah Harding Associate Professor of Statistics Rice University.
His recent research focuses on statistical modeling of challenging data that arise in scientific and industrial applications such as images, functional data, networks, and tree-structured data, with theoretical guarantees and scalable implementation.
Dr. Ruiqi Liu
Dr. Ruiqi Liu
Assistant Professor, Department of Mathematics and Statistics, Texas Tech University.
His research focuses on developing statistical procedures to solve real-world problems and understanding the foundations of statistics.
Dr. Jesus Arroyo
Dr. Jesus Arroyo
Assistant Professor, Department of Statistics, Texas A & M University, College Station.
His research interests include statistical network analysis, machine learning, high-dimensional data analysis, and applications to neuroimaging.
Dr. Evan Kwiatkowski
Dr. Evan Kwiatkowski
Assistant Professor, Department of Biostatistics, UTHealth Houston, School of Public Health.
His research focuses on Bayesian clinical trial design in both early- and late-phase settings and involves methodological development and software implementations.
Dr. Hyeongseon Jeon
Dr. Hyeongseon Jeon
Assistant Professor
Department of Mathematics, College of Natural Sciences and Mathematics, University of Houston.
His research interests: Multiple testing problem, gene expression data analysis, machine learning algorithm, and data visualization.
Dr. Yabo Niu
Dr. Yabo Niu
Assistant Professor, Department of Mathematics University of Houston.
His Research Interests: Statistics, applied probability, and data science in population health.
Dr. Qiwei Li
Dr. Qiwei Li
Assistant Professor of Statistics, Mathematical Science, University of Texas Dallas.
His research focuses on the development of Bayesian statistical methodologies and machine learning approaches to analyze high-dimensional data, spatial data, and shape data.
Dr. Nilotpal Sanyal
Dr. Nilotpal Sanyal
Assistant Professor of Statistics and Data Science University of Texas El Paso.
His research includes Bayesian statistics, high-dimensional variable selection, nonparametric regression, statistical genetics, computational neuroscience, and survival analysis. His research has found applications in omics, epidemiology, public health, and neuroscience.
Dr. Chuan-Fa Tang
Dr. Chuan-Fa Tang
Assistant Professor of Statistics, University of Texas Dallas
His research interests include order-restricted inference, shaped-constrained inference, empirical processes, empirical likelihood, survival analysis, mathematical statistics, image processing, kernel smoothing, and model selection.
Dr. Habte Tadesse Likassa
Dr. Habte Tadesse Likassa
Department of Biostatistics, College of Health Solutions, Arizona State University, Phoenix, USA
His research interests include developing robust statistical methods, statistical signal processing, machine learning, tensor data analysis, sparse decomposition, and medical image analysis, with a focus on high-dimensional image data.
Dr. Jian Cao
Dr. Jian Cao
Assistant Professor, Department of Mathematics University of Houston
His research interests include Computational statistics, spatial statistics, gaussian processes, multivariate processes, bayesian optimization.
Dr. Xinjie Lan
Dr. Xinjie Lan
Assistant Teaching Professor, The Center for Transforming Data to Knowledge, Statistics Department, Rice University
His research interests include machine learning theory, eXplainable Artificial Intelligence (XAI), computer vision, and data science applications.
Dr. Dexter Cahoy
Dr. Dexter Cahoy
Professor of Mathematics and Statistics
University of Houston Downtown
His research interests include Bayesian inference, survey methodology, inference for fractional stochastic processes and generalized probability models.
Dr. Yifung (Frank) Li
Dr. Yifung (Frank) Li
Associate Professor of Statistics
University of Houston Clear Lake
His research area includes experimental designs, biostatistics, and statistical computing.
Dr. Beniamino Hadj-Amar
Dr. Beniamino Hadj-Amar
Posdoctoral Fellow
Department of Statistics Rice University
His research area is at the interface between statistics and science, where I am particularly interested in the development of Bayesian methodologies for the automated analysis of complex dynamical time series.
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