Dr. Xinping Cui is Professor in Statistics at University of California at Riverside. She joined UCR as an assistant professor in 2022 right after she graduated with Ph.D. in biostatistics from UCLA. She is an elected member of ISI. She served as the department chair from 2015-2021. Her research interests include multiple testing, deep learning, subgroup analysis, statistical genomics and bioinformatics, system biology, health service research.

Contact Information:

Dr. Xinping Cui
Room 1338 Olmsted Hall
(951) 827-3327
xinping.cui@ucr.edu

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Karen Xu has worked in the Collaboratory as a statistics consultant since June 2005. She has served as a statistical consultant on research projects for government agencies, private industry, and professors at the University of California, Riverside. Her experience includes statistical modeling and data analysis in a wide range of areas using advanced statistical techniques. She received her Master of Science in Statistics in June 2006 and her Ph.D. in Electrical Engineering in December 2006 from the University of California, Riverside.

Contact Information:

Karen Xu
Room 1349 Olmsted Hall
Riverside, CA 92521
(951) 827-6062
karen.xu@ucr.edu

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Professor Jeske joined UCR in the Fall of 2003, coming from Bell Laboratories, Lucent Technologies, where he was a Distinguished Member of Technical Staff and a Technical Manager in the High Performance Communication Systems Lab.  During his 17-year career at Bell Laboratories, he worked in an internal consulting environment developing and applying statistical analysis methodologies to solve a diverse array of engineering problems.  Examples of recent problems include development and application of practical software reliability models, design of geolocation prediction algorithms for wireless networks, development of signal-to-noise ratio estimators for wireless networks, derivation of improved network clock offset estimation methods, and design of highly reliable shared mesh networks.

He was a Visiting Part-Time Lecturer in the Department of Statistics at Rutgers University for 10 years, teaching a variety of traditional graduate-level courses. He collaborated with the Rutgers Statistics department on a consulting project for the FAA that utilized text data analysis and classification methodologies to manage risk indicators.  After receiving a Bachelor of Science degree in Mathematics from Austin Peay State University in 1980, he received a Master of Science degree (1982) and a Ph.D. (1985) in Statistics from Iowa State University.

Contact Information:

Daniel Jeske
Room 1340 Olmsted Hall
(951) 827-3014
daniel.jeske@ucr.edu

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