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  Paul A Parker

Paul A Parker

Assistant Professor

 

Baskin School of Engineering

Statistics

Assistant Professor

Faculty

Regular Faculty

Statistics
Big Data
Machine Learning
Data Studies

Personal Website

Engineering Building 2
541A

SOE2

I am currently an assistant professor in the Department of Statistics at the University of California, Santa Cruz. Before this role, I obtained my Ph.D. in Statistics at the University of Missouri, where I was a recipient of the U.S. Census Bureau Dissertation Fellowship, and a recipient of the University of Missouri Population, Education and Health Center Interdisciplinary Doctoral Fellowship. My dissertation work was focused on Bayesian methods for modeling non-Gaussian unit-level survey data under informative sampling, with an emphasis on application to small area estimation. I am broadly interested in modeling dependent data (spatial, temporal, etc.) for a variety of applications including official statistics, social sciences, and environmental sciences. I am also interested in integration of modern machine learning and data science techniques to help improve statistical models.

  • Bayesian Modeling
  • Official Statistics and Survey Methodology
  • Dependent Data (spatial, temporal, spatio-temporal, etc.)
  • Environmental Applications

Grants

  • 9/22-8/26 Collaborative Research: Randomization Based Machine Learning Methods in a Bayesian Model Setting for Data from a Complex Survey or Census, NSF-NCSES. Role: PI.
  • 10/25-9/28 Collaborative Research: CAIG: Using statistical neural networks to learn ocean microbial ecology from flow cytometry data, NSF-RISE. Role: Co-PI.
  • 10/24-9/25 Robust small-area estimation strategies for developing accurate stand-level diameter distributions. Role: PI on subaward from University of Idaho.
  • 9/22-8/23 Objective Bayes 2022 Methodology Conference, NSF. Role: PI.

Awards

  • Honorable Mention - Savage Award in Applied Methodology -  International Society for Bayesian Analysis
  • U.S. Census Bureau Dissertation Fellowship
  • University of Missouri Population, Education, and Health Center Interdisciplinary Doctoral Fellowship 

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