Yajun Mei
Yajun Mei
Professor of Biostatistics
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Professional overview
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Yajun Mei is a Professor of Biostatistics at NYU/GPH, starting from July 1, 2024. He received the B.S. degree in Mathematics from Peking University, Beijing, China, in 1996, and the Ph.D. degree in Mathematics with a minor in Electrical Engineering from the California Institute of Technology, Pasadena, CA, USA, in 2003. He was a Postdoc in Biostatistics in the renowned Fred Hutch Cancer Center in Seattle, WA during 2003 and 2005. Prior to joining NYU, Dr. Mei was an Assistant/Associate/Full Professor in H. Milton Stewart School of Industrial and Systems Engineering at the Georgia Institute of Technology, Atlanta, GA for 18 years from 2006 to 2024, and had been a co-director of Biostatistics, Epidemiology, and Study Design (BERD) of Georgia CTSA since 2018.
Dr. Mei’s research interests are statistics, machine learning, and data science, and their applications in biomedical science and public health, particularly, streaming data analysis, sequential decision/design, change-point problems, precision/personalized medicine, hot-spots detection for infectious diseases, longitudinal data analysis, bioinformatics, and clinical trials. His work has received several recognitions including Abraham Wald Prizes in Sequential Analysis in both 2009 and 2024, NSF CAREER Award in 2010, an elected Fellow of American Statistical Association (ASA) in 2023, and multiple best paper awards.
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Education
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BS, Mathematics, Peking UniversityPhD, Mathematics, California Institute of Technology
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Honors and awards
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Fellow of American Statistical Association (2023)Star Research Achievement Award, 2021 Virtual Critical Care Congress (2021)Best Paper Competition Award, Quality, Statistics & Reliability of INFORMS (2020)Bronze Snapshot Award, Society of Critical Care Medicine (2019)NSF Career AwardThank a Teacher Certificate, Center for Teaching and Learning (2011201220162020202120222023)Abraham Wald Prize (2009)Best Paper Award, 11th International Conference on Information Fusion (2008)New Researcher Fellow, Statistical and Applied Mathematical Sciences Institute (2005)Fred Hutchinson SPAC Travel Award to attend 2005 Joint Statistical Meetings, Minneapolis, MN (2005)Travel Award to 8th New Researchers Conference, Minneapolis, MN (2005)Travel Award to IEEE International Symposium on Information Theory, Chicago, IL (2004)Travel Award to IPAM workshop on inverse problem, UCLA, Los Angeles, CA (2003)Fred Hutchinson SPAC Course Scholarship (2003)Travel Award to the SAMSI workshop on inverse problem, Research Triangular Park, NC (2002)
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Publications
Publications
A comparison of fusion policies for local detection statistics in federated monitoring
Failed retrieving data.Evaluating Time-space methodologies to detect clusters of HIV transmission: a comparison of advanced methods in Washington State, 2010-2022
Failed retrieving data.Is Grouping Always Detrimental to Monitoring Multinomial Data?
Failed retrieving data.Quickest detection under weighted sampling
Failed retrieving data.The average run length to false alarm of a differentially private CUSUM algorithm
Failed retrieving data.Comprehensive Anatomical Staging Predicts Clinical Progression in Mild Cognitive Impairment: A Data-Driven Approach
Failed retrieving data.Exploring the correlation between corrective glucose treatment and long-term patient outcomes: a SHINE secondary analysis
Failed retrieving data.Impact of compensation coefficients on active sequential change point detection
Failed retrieving data.Optimal change detection in muti-armed bandit
Failed retrieving data.Precise False Alarm Rate of the SUM-CUSUM Scheme for High-Dimensional Streaming Data
Failed retrieving data.Predicting confirmed cases of various epidemics using global temporal-feature-based graph convolutional network
Failed retrieving data.Rollout designs for lump-sum data
Failed retrieving data.Beyond Point Prediction : Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process
Failed retrieving data.Cost-efficient fixed-width confidence intervals for the difference of two Bernoulli proportions
Failed retrieving data.Directional false discovery rate control in large-scale multiple comparisons
Failed retrieving data.Jugular Venous Catheterization is Not Associated with Increased Complications in Patients with Aneurysmal Subarachnoid Hemorrhage
Failed retrieving data.Monitoring High-Dimensional Streaming Data via Fusing Nonparametric Shiryaev-Roberts Statistics
Failed retrieving data.Pharmacologic Venous Thromboembolism Prophylaxis in Patients with Nontraumatic Subarachnoid Hemorrhage Requiring an External Ventricular Drain
Failed retrieving data.Quickest Detection in High-Dimensional Linear Regression Models via Implicit Regularization
Failed retrieving data.Active learning-based multistage sequential decision-making model with application on common bile duct stone evaluation
Failed retrieving data.Adaptive resources allocation CUSUM for binomial count data monitoring with application to COVID-19 hotspot detection
Failed retrieving data.Asymptotic optimality theory for active quickest detection with unknown postchange parameters
Failed retrieving data.Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control
Failed retrieving data.CSSQ : a ChIP-seq signal quantifier pipeline
Failed retrieving data.Editorial to the special issue : modern streaming data analytics
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