Advanced Statistics Summer Workshop

Dr. Gao is the director of the Biostatistics and Data Management Core of the Indiana Alzheimer’s Disease Research Center. Dr. Gao’s research interest is in developing statistical methods for the analysis of longitudinal and mixed type data. Her major collaborative areas are in Alzheimer’s disease and aging research.

Dr. Zang is the associate director of the Biostatistics and Data Management Core of the IU Simon Comprehensive Cancer Center. His research focuses on theory, algorithm and software development for adaptive clinical trial design and analysis, and statistical genetics.

Dr. Tu is an applied statistician who has designed and led multiple clinical trials and observational studies. He has hands-on experience in conducting pragmatic trials. His statistical methodological research is mostly in causal inference, Bayesian inference and nonparametric regression.

Dr. Li specializes in clinical trials, leveraging longitudinal health care data to assess safety and effectiveness of treatments, identification of patient subpopulations for personalized medicine, and risk prediction models for clinical decision support. Dr. Li leads research collaborations in Biostatistical Cores in Cardiology, Emergency Medicine, and Nephrology.

Dr. Monahan is the director of Biostatistics and Data Management Core of the IU Simon Comprehensive Cancer Center. Dr. Monahan’s independent research is in quantitative psychometrics, including latent dimensionality assessment, item response theory, item bias detection, and generalizability theory for reliability assessment. His collaborative research focuses on behavioral medicine and mental health with applications involving analyses of patient-reported symptoms and quality of life across a wide range of disciplines such as primary care, cancer prevention, aging, dementia, psychiatry, diabetes and juvenile justice.

Dr. Perkins is the director of the Biostatistics, Epidemiology, and Research Design Program of the Indiana Clinical and Translational Science Institute. Dr. Perkins’ collaborative interests include all aspects of health services research and quality of life research. Her research interests are in the area of categorical data analysis.

Ms. Caldwell advises researchers on regulatory matters including IRB and FDA submissions and manages the CTSI clinical research monitoring service, single IRB project management service, and Scientific Review Committee.

Dr. Gao is the director of Biostatistics and Data Management Core of the Indiana Alzheimer’s Disease Research Center. Dr. Gao’s research interest is in developing statistical methods for the analysis of longitudinal, mixed type data. Her major collaborative areas are in Alzheimer’s disease and aging research.

Dr. Daggy’s methodological research areas include multivariate modeling of semi-continuous data, latent class models with conditional dependence as applied to the area of record linkage, and joint modeling of medical costs and survival with data from complex surveys. Dr. Daggy’s collaborative research areas include non-pharmacological intervention studies, cancer and areas in health service research.

Dr. Ren’s research focuses on Bayesian sparse learning, variable selection for high-dimensional data and Bayesian integrative model for multi-omics data. Her major collaborative areas are traumatic brain injury, infectious diseases, genomics and bioinformatics studies.

Dr. Liu’s collaboration areas include oncology, anesthesiology, kidney stones, HIV and musculoskeletal diseases. His methodological research focuses state space models, functional data analysis, and time series data analysis. He is mostly interested in understanding complex dynamics over time and utilizing them for classification and forecasting.

Dr. Bakoyannis’ methodological research is focused on the nonparametric and semiparametric analysis of complex survival, competing risks, and multistate process data, with a special emphasis on issues commonly arising in biomedical and clinical research, such as missing data, misclassification, and interval censoring. His research interests also include methodology development for precision medicine, and in particular, methods for the estimation of optimal individualized treatment rules. His major collaborative research areas are in HIV/AIDS and cancer.

Dr. Zhao’s research focus is on causal mediation analysis, decomposition methods, multi-view data integration, density object analysis, high-dimensional data analysis, neuroimaging data analysis, and proteomics and metabolomics studies. Dr. Zhao has been involved in research projects on neuroscience and pulmonology. Dr. Zhao is a faculty member of the Indiana Alzheimer's Disease Research Center (IADRC) and a faculty member of the Indiana University School of Medicine Alzheimer’s Disease Drug Discovery Center (ADDDC). Dr. Zhao has collaborations in topics of AD, neurodevelopmental impact of substance exposure/abuse, and neurodevelopmental disorders, such as attention-deficit hyperactivity disorder (ADHD) and autism. Dr. Zhao is leading the Pulmonary Biostatistics Core of a large P01 grant and has been involved in research on asthma, cystic fibrosis (CF), and primary ciliary dyskinesia (PCD).

Prior to joining Indiana University, Dr. McCabe was a postdoctoral research fellow in the Department of Biostatistics at the Harvard TH Chan School of Public Health. Dr. McCabe's research is on developing statistical methods for high-dimensional genomic data and specializes in integrative analyses. His collaborative interests include bioinformatics, cancer research and clinical trials.

Dr. Zhao’s research focus is on causal mediation analysis, decomposition methods, multi-view data integration, density object analysis, high-dimensional data analysis, neuroimaging data analysis, and proteomics and metabolomics studies. Dr. Zhao has been involved in research projects on neuroscience and pulmonology. Dr. Zhao is a faculty member of the Indiana Alzheimer's Disease Research Center (IADRC) and a faculty member of the Indiana University School of Medicine Alzheimer’s Disease Drug Discovery Center (ADDDC). Dr. Zhao has collaborations in topics of AD, neurodevelopmental impact of substance exposure/abuse, and neurodevelopmental disorders, such as attention-deficit hyperactivity disorder (ADHD) and autism. Dr. Zhao is leading the Pulmonary Biostatistics Core of a large P01 grant and has been involved in research on asthma, cystic fibrosis (CF), and primary ciliary dyskinesia (PCD).

Dr. Dayu Sun’s research focuses on developing novel methods for high-dimensional data analysis, particularly in neuroimaging applications such as functional MRI and brain connectivity studies related to Alzheimer’s disease and post-traumatic stress disorder. His work also involves the joint analysis of intermittently observed longitudinal data and complex time-to-event data, aiming to capture the time-dynamic nature of underlying biological mechanisms, with applications to HIV, COVID-19, and nutrition studies. Dr. Sun is an affiliated scientist of the Center for Aging Research at Regenstreif Institute, focusing on improving patient care for Alzheimer's disease. Additionally, he collaborates extensively with researchers in pediatrics, psychiatry, mental health, and criminology. He has significant experience analyzing clinical and observational data on juvenile prisoners, focusing on mental health, substance use, suicide trends and recidivism records.

Dr. Johnson works at the intersection of data science, medicine and genetics. His research is focused both on methods development for omics data and collaborative applied omics data analysis. His group develops and applies novel machine learning techniques to single cell RNA sequencing, spatial transcriptomics, bulk RNA sequencing and multi-omic data. His methodological interests are centered around deep transfer learning based and risk inference. In addition, Dr. Johnson collaborates with research groups at Indiana University School of Medicine, Indiana Biosciences Research Institute and Eli Lilly and Company by providing bioinformatics and data science support.

Dr. Huang leads the Precision Health Initiative Data Science and Informatics group, and is the director of the Bioinformatics and Computational Biology Core for the TREAT-AD program for Alzheimer’s therapy development. He also serves as associate director for data science at the IU Simon Comprehensive Cancer Center and leads the data science and informatics service for the National Cancer Institute Pediatric Cancer SPORE grant-funded research program.

Before joining Indiana University, Dr. Zhou was a postdoctoral research fellow in the Department of Genetics at the University of North Carolina at Chapel Hill. Her research focuses on developing statistical methods to address key challenges in biomedical research, particularly in immunomics, genomics and precision medicine. This includes work on neural networks and polygenic risk scores. Her collaborative interests span cancer research, chronic kidney disease and studies involving underrepresented populations.