Human Exposure & Atmospheric Sciences Staff
Kathleen J. Holm
Title: Post-Doctoral Statistician
EPA Division: Human Exposure and Atmospheric Sciences Division
EPA Branch: Exposure and Dose Research Branch
Kathleen’s research experience is in mathematical modeling, optimal design, and statistical analysis. Recently she has been using physiologically based pharmacokinetic (PBPK) modeling to interpret biomonitoring data. She estimates exposures from biomonitoring data using probabilistic reverse dosimetry. Kathleen’s research includes identifying and quantifying the sources of uncertainty in exposure reconstruction, and determining the type of data required to estimate exposure. She has examined these questions in the context of the pesticide carbaryl, though her research can be generalized to other chemicals. In another research project, she is developing methods for identifying environmentally-relevant chemical mixtures, while incorporating available spatial information. These chemical mixtures (identified from exposure study data) can be further tested in toxicity studies for targeted cumulative risk assessment.
- Ph.D., Biomathematics, North Carolina State University, 2011
- M.S., Applied Mathematics, University of Arizona, 2007
- B.S., Mathematics, Colorado State University, 2003
- Post-Doctoral Statistician, USEPA, ORD, NERL-HEASD, EDRB, RTP, NC, August 2011-present
- Graduate Research Assistant, NCSU, January 2008-July 2011
- Graduate Teaching Assistant, NCSU, August 2007-May 2008
Select Awards and Honors:
- Perry J. Gehring Student Award for Excellence in Biological Modeling, Society of Toxicology 2012 Annual Meeting
- Lord/CRSC Fellowship, Center for Research in Scientific Computation, NCSU, 2010-2011
- Lucas Outstanding Service Award, Biomathematics, NCSU, 2008-2009
- NCSU Provost Fellowship, NCSU, 2007-2008
- Outstanding Teaching Assistant, NCSU, 2007
- C. Tan, K. Holm, M. Yoon, B. Young, H. Clewell, R.Tornero-Velez, R. Goldsmith, D. Cheng, C. Grulke, C. Dary, Identifying the sources of uncertainty in the process of reconstructing exposures to carbaryl using exposure-to-dose modeling, Society of Toxicology 2012 Annual Meeting, San Francisco, CA, 3/2012.
- H.T. Banks, K. Holm and F. Kappel, Comparison of Optimal Design Methods in Inverse Problems, Universite de Rouen, Mathematics and Biology: Young Investigators International Workshop, Rouen, France, 4/2011.
- H.T. Banks, K. Holm and F. Kappel, Comparison of Optimal Design Methods in Inverse Problems, Southeastern-Atlantic Regional Conference on Differential Equations (SEARCDE), Virginia Tech, Blacksburg, VA, 10/2010.
- H.T. Banks, K.J. Holm and F. Kappel, A Monte Carlo Based Analysis of Optimal Design Criteria, J Inverse and Ill-posed Problems, 20 (2012), 1-37.
- H.T. Banks, K. Holm and F. Kappel, Comparison of Optimal Design Methods in Inverse Problems, CRSC-TR10-11, May 2011; Inverse Problems, 27 (2011), 075002, 1-31.
- H.T. Banks, K. Holm and D. Robbins, Standard Error Computations for Uncertainty Quantification in Inverse Problems: Asymptotic Theory vs. Bootstrapping, Mathematical and Computer Modelling, 52 (2010), 1610-1625.
- H.T. Banks, K. Holm, N.C. Wanner, A. Cintron-Arias, G.M. Kepler, and J.D. Wetherington, A Mathematical Model for the First-Pass Dynamics of Antibiotics Acting on the Cardiovascular System, Mathematical and Computer Modelling, 50 (2009), 959-974.
- R.D. Beger, K.J. Holm, D.A. Buzatu, and J.G. Wilkes, Using Simulated 2D 13CNMR Nearest Neighbor Connectivity Spectral Data Patterns to Model a Diverse Set of Estrogens, Internet Electronic Journal of Molecular Design, 2 (2003), 435-453.
Human Exposure & Atmospheric Sciences Division
National Exposure Research Laboratory
US EPA Office of Research and Development
109 TW Alexander Drive
Research Triangle Park, NC 27709