Talks

2023

  • Dec. 2023: Spatial Methods in Cluster Detection and Environmental Mixtures
    • Office of Biostatistics Research (OBR), National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Rockville, MD.
  • Oct. 2023: Spatial Methods in Cluster Detection and Environmental Mixtures
    • SLAM (Survival, Longitudinal, and Multivariate data) Working Group, Biostatistics Department, Johns Hopkins University, Baltimore, MD.
  • Aug. 2023: Regularized and Multi-Model Methods for Spatial and Spatio-Temporal Cluster Detection
    • Joint Statistical Meetings (JSM), Toronto, Canada.
  • Aug. 2023: Regularized Spatial and Spatio-Temporal Cluster Detection: Applications to Breast Cancer
    • 6th International Conference on Econometrics and Statistics (EcoSta), Tokyo, Japan (hybrid).
  • Jun. 2023: Partial Effects in Environmental Mixtures: Guidance on Methods, Assumptions, and Implications
    • NIEHS Environmental Mixtures Working Group, Virtual.
  • Jan. 2023: Novel Spatial Methods in Cancer Surveillance and Environmental Mixtures
    • University of Wisconsin-Madison, School of Medicine & Public Health - Department of Population Health Sciences, Madison, WI.

2022

  • Aug. 2022: Cell-Wise Uncertainty Quantification of Spatial Clusters
    • Joint Statistical Meetings (JSM), Washington, DC
  • Jun. 2022: Quantifying Wildfire Smoke PM2.5 Exposure in California School Children
    • Society for Epidemiologic Research (SER) Annual Meeting, Chicago, IL
  • Jun. 2022: Spatial and Spatio-Temporal Cluster Detection Using Stacking
    • Society for Epidemiologic Research (SER) Annual Meeting, Chicago, IL
  • Mar. 2022: Spatial Clustering

2021

  • Dec. 2021: Spatial and Spatio-Temporal Cluster Detecion - Methods and Applications:
    • University of Southern California, Keck School of Medicine - Environmental Health Division, virtual.
  • May. 2021: Teaching Debugging to Learners: slides.
    • UW-Madison Carpentries Instructor Development Meeting, virtual.
  • Apr. 2021: A Crash Course on Git & GitHub: slides.
    • Pathogen Dynamics Lab Group, University of Cambridge, virtual.
  • Mar. 2021: Identifying Spatial Clusters of Breast Cancer Risk: A Lasso Approach to the Wisconsin Women’s Health Study.
    • ENAR Spring Meeting, virtual
  • Feb. 2021: Self-Assessment with learnr: slides.
    • useR Boston Meetup, virtual.

2020

  • Dec. 2020: Identification of Breast Cancer Spatial Structures Based on the Wisconsin Women’s Health Study.
    • Society for Epidemiologic Research (SER) Annual Meeting, Virtual
  • Aug. 2020: Detecting Disease Clusters Across Space and Time Using Model Averaging.
    • Joint Statistical Meetings (JSM) Virtual, Virtual.

2019 and earlier

  • Sep. 2019: Statistical Analysis of Madison Water Utility Main Breaks.
    • Data Science for Social Good Conference, Chicago, IL.