Session List

Session Code	Session Title	Organizer	Organizer Affiliation
23SYM1	Statistical learning related to networks	Ji Zhu	University of Michigan
23SYM2	Panel on Careers in Data Science	Yang Chen	University of Michigan
23SYM3	Advanced Methods for Challenging Problems in Brain Imaging Studies	Ying Guo	Emory University
23SYM4	Use of external historical control from real-world data for clinical trial designs and analyses	Gaohong Dong	BeiGene
23SYM5	Unified Framework for Machine Learning	Jun Zhang	University of Michigan
23SYM6	Recent developments in design and analysis of oncology clinical trials	Chen Hu	Johns Hopkins University
23SYM7	Uncertainty Quantification and Statistical Learning for Complex Systems	Emily Kang	University of Cincinnati
23SYM8	Covariate adjustment for modern cluster randomized designs	Ben B. Hansen	Statistics Department, University of Michigan
23SYM9	Statistical predictive models in biomedical research	Xiaowei Zhan	Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center
23SYM10	Latent variable approaches in social and biomedical applications	Yuqi Gu	Columbia University
23SYM11	Frontiers of Spatio-Temporal Statistical Learning in Climate and Environmental Science	Bledar Konomi	University of Cincinnati
23SYM12	Exploiting latent geometric and clustering structures in high-dimensional data	Yuqi Gu	Columbia University
23SYM13	Probabilistic machine learning on unstructured data	Mingzhang Yin	University of Florida
23SYM14	Statistical Challenges and Developments with Imperfect Disease Outcome Ascertainment	Danping Liu	National Cancer Institute
23SYM15	Statistical Tools for Integrating GWAS Signals and Multi-Omics Data	Xiaoyu Liang	Michigan State University
23SYM16	Inference for flexible and high-dimensional models	Ali Shojaie	University of Washington
23SYM17	Statistical Machine Learning for Imaging and Time Series Data	Ali Shojaie	University of Washington
23SYM18	Inclusion of Domain-knowledge in Deep Learning Methods	Rui Feng	University of Pennsylvania
23SYM19	Statistical learning from genomics data to knowledge	Jiebiao Wang	University of Pittsburgh
23SYM20	Small Area Estimation in Public Health	Le Bao	Penn State University
23SYM21	Methods and Applications in High-Dimensional Statistical Models	Xiaoli Kong	Wayne State University
23SYM22	Statistical considerations in constructing estimands for innovative clinical trial design and analysis	Jing-ou Liu	Regeneron
23SYM23	Statistical Decision-making with Complex, Big data	Snigdha Panigrahi	University of Michigan
23SYM24	From Machine Learning to Causal Inference and Back	Yixin Wang	University of Michigan
23SYM25	New Methods and Theory for Nonparametric Statistics and Machine Learning	Lingzhou Xue	Penn State University
23SYM26	New Methods and Theory for the Analysis of Complex Data	Lingzhou Xue	Penn State University
23SYM27	Recent Advances in Functional Data Analysis	Lingzhou Xue	Penn State University
23SYM28	New advances in nonparametric methods for big and complex data	Shan Yu	University of Virginia
23SYM29	Innovations in modeling dependent data and structure	Pei Geng	Illinois State University
23SYM30	Statistical Methods Development in Single-cell Genomics and Multi-omics Data	Hao Feng	Case Western Reserve University
23SYM31	Modeling survival and longitudinal data in health research	Yingwei Peng	Queen's University
23SYM32	Statistical methods for multimodal single cell data	Rui Xiao	University of Pennsylvania
23SYM33	Optimal Statistical Methods	Jun Hu	Department of Mathematics and Statistics, Oakland University, Rochester, MI
23SYM34	New advancements in personalized optimal treatment under complex regimens	Qi Zheng	University of Louisville
23SYM35	Statistics in Biosciences (SIBS): real world challenges and recent methodological advances in transforming data into knowledge	Hongkai Ji	Johns Hopkins Bloomberg School of Public Health
23SYM36	Clinical Trial Designs Involving Multiple Stages and Re-Randomization Beyond Traditional Randomization	Helen Li	Statistics & Data Corporation
23SYM37	Machine learning in healthcare	Weijing Tang	Harvard University
23SYM38	Advances in Statistical Learning and Inference for Network Data	Weijing Tang	Department of Biostatistics, Harvard University
23SYM39	Recent advances in causal inference	Anqi Zhao	National University of Singapore
23SYM40	Recent Advances in Statistical Genetics	Chong Wu	The University of Texas MD Anderson Cancer Center
23SYM41	Statistical methods for wearable devices	Emily Hector	North Carolina State University
23SYM42	Mathematics and Statistics in Medical Imaging	Zhou Lan	Brigham and Women's Hospital, Harvard Medical School
23SYM43	Recent advances in quantitative analysis in immunological research	Tao He	San Francisco State University
23SYM44	Recent advance on early phase oncology study designs for single and drug combination therapies	Jun Zhao	Antengene Corp
23SYM45	Statistical and Machine Learning Methods with Applications to Neurodegenerative Diseases	Panpan Zhang	Vanderbilt University Medical Center
23SYM46	Bayesian methods for complex and high dimensional data	Liangliang Zhang	Case Western Reserve University
23SYM47	Computational Solutions in Quantile Regressions and Ranking Problems	Feng Ruan	Northwestern University
23SYM48	New advances in mediation analysis	Peter Song	University of Michigan
23SYM49	Draw better conclusions based on the data: some newly developed methods	Peisong Han	University of Michigan
23SYM50	Robust Bayesian Estimation and Inference Methods	Mai Dao	Wichita State University
23SYM51	Model and Variable Selection Methods with Complex Survey Data	Yajuan Si	University of Michigan
23SYM52	High-Dimensional and Non-Regular Statistical Inference.	Yinqiu He	University of Wisconsin-Madison, Department of Statistics
23SYM53	Recent Advances in Network and Tensor Data Analysis	Yinqiu He	University of Wisconsin-Madison, Department of Statistics
23SYM54	High Dimensional Variable Screening and Inference For Complex Data	Jiaying Weng	Bentley University
23SYM55	Modern Methods for Analysis of High-Dimensional Data in Biomedical Research	Wenrui Li	University of Pennsylvania
23SYM56	Statistical Advances in Microbiome Research	Liangliang Zhang	Case Western Reserve University
23SYM57	Bayesian models for structured data analysis	Weining Shen	UC Irvine
23SYM58	Recent advances in clustering methods for complex data in biological and medical applications	Nianqiao (Phyllis) Ju	Purdue University
23SYM59	Advances in statistical analysis of microbiome sequencing data	Li Ma	Duke University
23SYM60	Recent Developments in Psychometrics and Complex Data Analysis	Gongjun Xu	University of Michigan
23SYM61	Recent developments in psychometrics and cognitive diagnosis modeling	Gongjun Xu	University of Michigan
23SYM62	Recent developments in psychometrics and latent variable modeling	Gongjun Xu	University of Michigan
23SYM63	Causal inference in observational studies and adaptive experiments	Lan Luo	University of Iowa
23SYM64	Recent developments in Semiparameteric Inference	Tony Sit	The Chinese University of Hong Kong
23SYM65	Recently developments in subsampling	HaiYing Wang	University of Connecticut
23SYM66	The Jiann-Ping Hsu Invited Session on Biostatistical and Regulatory Sciences	Lili Yu	Georgia Southern University
23SYM67	Using Complex Innovative Designs in Clinical Trials	Emily Morris	US Food and Drug Administration
23SYM68	Showcase of New Statistical Methods Developed for Censored Data	Lu Wang	University of Michigan
23SYM69	Recent Advances in Statistical Methods for Precision Medicine and Sequential Decision Making	Tianchen Qian	University of California, Irvine
23SYM70	Random Partitioning Methods for Modeling Complex Data	Li Ma	Duke University
23SYM71	Recent Statistical Developments for Precision Medicine	Lu Tang	University of Pittsburgh
23SYM72	New developments in spatial extremes modeling	Emily Hector	North Carolina State University
23SYM73	Novel Methods for Design and Inference of Clinical Trials: Complex Innovative Adaptive Design and External Evidence Synthesis	Xiaotian Chen	AbbVie Inc
23SYM74	Ultrahigh-dimensional variable selection for mixed-type responses and manifold learning of low-rank matrices	Hsin-Hsiung Huang	University of Central Florida
23SYM75	Recent developments in statistical and representation learning and dimension reduction	Shanshan Ding	University of Delaware
23SYM76	Novel Statistical Methods: From Preclinical Studies, Clinical Trials to Real-World Evidence	Kelly Zou	Viatris Inc.
23SYM77	New methods of community inference and model selection for dynamic and weighted networks	Shujie Ma	University of California, Riverside
23SYM78	Recent Developments in Statistical Learning and Big Data Research	Bowei Xi	Purdue University
23SYM79	Overcoming Data Privacy Challenges	Bei Jiang	University of Alberta
23SYM80	Statistical advances for biomedical data with complex structures	Yuehua Cui	Michigan State University
23SYM81	Causal inference in complex settings	Xinran Li	University of Illinois at Urbana-Champaign
23SYM82	New Multivariate Statistics: Multiview, Multilayer, and Multidimensional Data Analysis	Xin (Henry) Zhang	Florida State University
23SYM83	Dimension reduction and latent structural learning	Xin (Henry) Zhang	Florida State University
23SYM84	Complex modeling for multi-modal and functional brain imaging data analyses	Yize Zhao	Yale University
23SYM85	Analytical advances on complex brain imaging and biomedical studies	Yize Zhao	Yale University
23SYM86	Recent Developments in Modeling of Complex Functional Data	GUANQUN CAO	Auburn University
23SYM87	Dose Optimization and Selection for Oncology Drugs	Ying Lu	Stanford University
23SYM88	Modern and Innovative Statistical Learning Methods for Complex Data	Guannan Wang	William and Mary
23SYM89	Recent Developments for Nonparametric Methods in Biomedical and Engineering Research	Pei Wang	Miami University
23SYM90	Statistical Methods using Medical Data	Dongfeng Wu	Dept. of Bioinformatics and Biostatistics, University of Louisville
23SYM91	Low-dimensional models in deep learning	Weijie Su	University of Pennsylvania
23SYM92	Recent Statistical Developments for Complex Survival Data	Lu Tang	University of Pittsburgh
23SYM93	Recent development of adaptive designs (seamless 2-in-1 adaptive design and adaptive group sequential designs)	Eric (Pingye) Zhang	BeiGene
23SYM94	Modern statistical learning methods for complex data	Xinyi Li	Clemson University
23SYM95	Recent developments of statistical methods for genomics data	Jun Li	University of Notre Dame
23SYM96	Statistical, Epidemiological and Data Science Methods and Frameworks	Kelly Zou	Viatris Inc.
23SYM97	Recent developments in inference on heterogeneous causal effects and precision medicine	Shujie Ma	University of California-Riverside
23SYM98	Recent advances in statistical genomics	Hui Jiang	University of Michigan
23SYM99	Exploring causal effects from randomized trials: interpretation, estimation, and optimal treatment allocation	Chiung-Yu Huang	University of California at San Francisco
23SYM100	Real-World Evidence and Randomized Clinical Trials: from Best Practices to Applications	Kelly Zou	Viatris Inc.
23SYM101	Innovative Statistical and Data Science Methods in Healthcare	Kelly Zou	Viatris Inc.
23SYM102	Advances in complex data analysis	Lexin Li	University of California, Berkeley
23SYM103	Reinforcement learning: new methodology and theory	Lexin Li	University of California, Berkeley
23SYM104	Recent advances in neuroimaging analysis	Lexin Li	University of California, Berkeley
23SYM105	Statistical Learning and Inference Using Kernel, Distance, and Rank	Xianyang Zhang	Texas A&M University
23SYM106	Provable Machine Learning Methods to Embrace Challenges from Sciences	Wen Zhou	Colorado State University
23SYM107	Statistical Learning on Data with Sophisticated Structures and Dependence	Wen Zhou	Colorado State University
23SYM108	New Statistics on Modeling and Inference on Network	Wen Zhou	Colorado State University
23SYM109	Recent advances in causal inference and dynamic treatment regimes	Zhengling Qi	George Washington University
23SYM110	Game-Theoretic Perspectives on Statistical Machine Learning	Xiaowu Dai	University of California, Los Angeles
23SYM111	Obtaining Clinically and Statistically Meaningful Conclusions from Real-World Evidence	Tianyu Zhan	AbbVie
23SYM112	Machine Learning Methods with Biomedical Applications	Tianyu Zhan	AbbVie
23SYM113	Complex Innovative Clinical Trial Designs and Decision-Making Frameworks	Tianyu Zhan	AbbVie
23SYM114	Novel methods for dose optimization in early development of oncology medicinal products	Gaohong Dong	BeiGene