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
Hot-spots detection in count data by Poisson assisted smooth sparse tensor decomposition
Failed retrieving data.Pivotal Estimation of Linear Discriminant Analysis in High Dimensions
Failed retrieving data.Repetitive Low-level Blast Exposure and Neurocognitive Effects in Army Ranger Mortarmen
Failed retrieving data.Robust High-Dimensional Linear Discriminant Analysis under Training Data Contamination
Failed retrieving data.Surge Capacity in the COVID-19 Era : a Natural Experiment of Neurocritical Care in General Critical Care
Failed retrieving data.Active Quickest Detection When Monitoring Multi-streams with Two Affected Streams
Failed retrieving data.Adaptive Partially Observed Sequential Change Detection and Isolation
Failed retrieving data.Asymptotic Theory of `1-Regularized PDE Identification from a Single Noisy Trajectory
Failed retrieving data.Cannabis Use Is Not Associated with Aneurysmal Subarachnoid Hemorrhage Complications or Outcomes
Failed retrieving data.Does intrathecal nicardipine for cerebral vasospasm following subarachnoid hemorrhage correlate with reduced delayed cerebral ischemia? A retrospective propensity score-based analysis
Failed retrieving data.Efficient Sequential UCB-based Hungarian Algorithm for Assignment Problems
Failed retrieving data.Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent
Failed retrieving data.Predicting the rheology of limestone calcined clay cements (LC3) : Linking composition and hydration kinetics to yield stress through Machine Learning
Failed retrieving data.Private Sequential Hypothesis Testing for Statisticians : Privacy, Error Rates, and Sample Size
Failed retrieving data.Rapid detection of hot-spots via tensor decomposition with applications to crime rate data
Failed retrieving data.Robust change detection for large-scale data streams
Failed retrieving data.ROBUSTNESS AND TRACTABILITY FOR NONCONVEX M-ESTIMATORS
Failed retrieving data.The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models
Failed retrieving data.Treatment Effect Modeling for FTIR Signals Subject to Multiple Sources of Uncertainties
Failed retrieving data.A boosting inspired personalized threshold method for sepsis screening
Failed retrieving data.Aneurysmal Subarachnoid Hemorrhage : Trends, Outcomes, and Predictions from a 15-Year Perspective of a Single Neurocritical Care Unit
Failed retrieving data.Correlation-based dynamic sampling for online high dimensional process monitoring
Failed retrieving data.Creation of a Pediatric Choledocholithiasis Prediction Model
Failed retrieving data.Editorial : Mathematical Fundamentals of Machine Learning
Failed retrieving data.Multi-Stream Quickest Detection with Unknown Post-Change Parameters under Sampling Control
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