Julie Eaton

Assistant Professor ; Graduate Faculty
Eaton, Julie

Contact information

Dept: Interdisciplinary Arts and Sciences
Room: GWP 421
Phone: 253-692-4457
Email: jreaton@uw.edu
Web: http://faculty.washington.edu/jreaton/

Degrees

  • Ph.D., Mathematics, University of Washington, 2010.
  • M.S., Statistics, University of Washington, 2009.
  • B.A., Mathematics, University of Rochester, 2002.

Biography

My expertise is in variational analysis, optimization, statistics and data visualization. I teach all levels of undergraduate mathematics courses.

Research

My expertise is in variational analysis, optimization, statistics and data visualization.

  • Variational analysis and optimization - I am interested in the variational properties of polynomial root functions and spectral functions, which arise in eigenvalue optimization problems. Examples of spectral functions are the spectral abscissa (largest real part of an eigenvalue) and spectral radius (largest eigenvalue in modulus), which are tied to the asymptotic behavior of dynamical systems.
    • (with J. Burke) Variational properties of spectral max functions - In preparation
    • (with J. Burke) On the subdifferential regularity of max root functions for polynomials, Journal of Nonlinear Analysis: Theory, Methods & Applications, 75(3):1168-1187, 2012.
  • Statistics, data visualization applied to public health surveillance - My work in statistics and data visualization revolves around my involvement in a public health project for influenza surveillance. This work consists of three main components: data visualization, identifying patterns of error in data and developing an automated routine for error detection, and generating prediction intervals for the proxy flu rate.
    • The accrued package in R for visualizing data quality of partially accruing data can be found here: http://cran.r-project.org/
    • (with I. Painter, D. Olson, D. Revere, B. Lober) Generation of Prediction Intervals to Assess Data Quality in the Distribute System Using Quantile Regression In 2011 JSM Proceedings, Statistics in Defense and National Security Section. Alexandria, VA: American Statistical Association, pp 5172-5179.

Teaching

Courses I have taught or am currently teaching at UWT:

  • TMATH 110: Introduction to Statistics and its Applications
  • TMATH 120: Precalculus
  • TMATH 124: Calculus I
  • TMATH 125: Calculus II
  • TMATH 126: Calculus III
  • TMATH 307: Differential Equations
  • TMATH 310: Statistics with applications for environmental science
  • TCSS 321: Discrete Structures I

Selected Publications

  • Burke J., Eaton J. On the subdifferential regularity of max root functions for polynomials. Journal of Nonlinear Analysis: Theory, Methods & Applications, 75(3):1168-1187, 2012.
  • Eaton J., Godbole A., Sinclair B. Competition between discrete random variables, with applications to occupancy problems. Journal of Statistical Planning and Inference, 40(8):2204-2212, 2010.
  • Khanal Y., Eaton J., Pakish J., Yen P., Martins R., Carr L., Eaton K., Patel S. Survival disparities in non-small cell lung cancer patients receiving radiation treatment: An investigation of race and gender. Journal of Cancer Research and Experimental Oncology, 2(3): 29-34, 2010.

Affiliations

  • MAA

Professional Service

  • Faculty Searches
    • 2013: Cluster Hire in Hydrology Search Committee Member
    • 2013: Cluster Hire in Hydrology Interview Committee Member
    • 2013: 3-year Mathematics Lecturer Interview Committee Member
    • 2013: 3-year Mathematics Lecturer Search Committee Member
    • 2012: 3-year Chemistry Lecturer Interview Committee Participant
  • Campus-Wide Quantitative Literacy Task Force (2012-present)
    • We have developed a comprehensive plan for addressing the quantitative literacy including student support, faculty support, and identifying sources of funding. Specific personal contributions include a thorough survey of the quantitative gaps reported by instructors of courses that have Introductory Statistics with Applications (TMATH 110), Precalculus (TMATH 120), and Calculus I (TMATH 124) as prerequisites; developing a diagnostic quiz for Calculus I, proposing and coordinating the quantitative boot-camps with the TLC and instructors in chemistry, physics, business, and computer science.

Honors and Awards

  • AWM-NSF Mentoring Travel Grant, award from the Association for Women in Mathematics in the amount of $4037 for research-related travel during the 2013-2014 academic year (awarded in March 2013).
  • Tanzi-Egerton Fellowship Award, University of Washington Mathematics Department, 2009.
  • Microsoft Scholar Award, University of Washington Mathematics Department, 2004-2008.
  • VIGRE Fellow, University of Washington Mathematics Department, 2006-2007