People
Director, and Professor of Statistics |
 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, Director
Room 2605 Statistics-Computer Building
(951) 827-3014
daniel.jeske@ucr.edu
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 Karen Xu has worked in the Collaboratory as a statistics consultant since June 2005. 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 University of California, Riverside.
Contact Information:
Karen Xu
Room 2601 Statistics-Computer Building
Riverside, CA 92521
(951) 827-6062
karen.xu@ucr.edu
| Principal Consuling Statistician |
Dr. Scott Lesch has academic training in applied statistics and twenty-one years of experience in managing and performing statistical data modeling and analysis for environmental and agricultural research projects. He holds a Doctorate and Bachelors degree from the University of California and a Masters degree from Carnegie Mellon University, all in the field of Statistics. He is the author or coauthor of 81 academic publications, two technical training manuals (for the UN-FAO and NRCS), and the primary developer of the USDA-ARS ESAP software programs (agricultural software for mapping soil salinity from remotely sensed electromagnetic induction survey data). Dr. Lesch has extensive experience working on statistically based agricultural and environmental research projects relating to soil and water quality sampling protocols, soil salinity, water management and conservation, and TMDL and pathogen-contamination issues. Before joining the UC Riverside Statistical Consulting Center in 2007, Dr. Lesch worked for nineteen years at the USDA-ARS U.S. Salinity Laboratory as the laboratory's lead Statistician and Data Analyst.
Contact Information:
Scott Lesch
Room 2683 Statistics-Computer Building
Riverside, CA 92521
(951) 827-2241
slesc001@ucr.edu
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Center for Visual Computing