University of Texas at El Paso
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Dr. Joan G. Staniswalis

Professor Emeritus, Mathematical Sciences Department
Fellow of the American Statistical Association

Bell Hall #211
Department of Mathematical Sciences
University of Texas at El Paso
500 W University Ave
El Paso, TX 79968

Tel: (915) 747-5761
      (915) 747-6856

Fax: 915 747-6502
Email: jstaniswalis@utep.edu

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 Full CV (2016)
NIH Style Biosketch

   
   
   
Biography    

Dr. Staniswalis is Professor Emeritus in the Department of Mathematical Sciences at The University of Texas at El Paso (UTEP). She obtained her doctoral degree in 1985 from the Department of Mathematics at University of California, San Diego; the topic was local bandwidth selection for kernel estimators. She continues to contribute to the area of nonparametric and semiparametric regression, as well as functional data analysis for curve data. Her interest in biomedical applications is a result of her experience at The Medical College of Virginia's, Biostatistics Department, before coming to UTEP in 1990. Her experience at UTEP has piqued her interest in environmental applications such as the health effects of pollution in ambient air, and the use of ecological data to study disparities in health outcomes. Dr. Staniswalis has held many visiting appointments: University of Wisconsin, Madison, Department of Statistics; MD Anderson Cancer Center's, Biostatistics Department; Cornell University, Statistics Department; New Mexico State University, College of Health Sciences. She has served a four year term on the NIH panel that reviews proposals for statistical methodology and experimental design.

At UTEP, she has served as director of the NIH funded Minority Biomedical Research Support Program (MBRS). As director of the Statistical Consulting Laboratory (SCL) at UTEP from 1997-2003, the mission of the SCL was expanded, which lead to its becoming financially self-supporting. Dr. Staniswalis is 2001 Fellow of The American Statistical Association: ``For important contributions to nonparametric regression and its application to biomedical research; for collaborative research accomplishments and administrative leadership in consulting; for mentoring of students and junior researchers.''

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