I’m an applied statistician / data scientist, working in both R and Python, with over 11 years of programming experience and 9 peer reviewed publications. I am an organizer for RLadies, a global network of meetup groups to support gender diversity in the R community.
I’m fascinated by the ways variability or noise changes the patterns that we expect to emerge in data. I focus on computational approaches for both frequentist and Bayesian frameworks to account for variability in mechanistic models.
I live with two rescue pups, Maggie and Ruthie, who I think are really bears just pretending to be dogs. I spend most of my free time drinking coffee, hiking with the doggos, and watching baseball.
PhD in Statistical Ecology, 2012
University of California, Berkeley
BSc in Biology / Mathematics, 2005
Custom data science and statistical services
As a consultant, I am here to provide you with data-centered solutions to improve your business or research. I can help with data analysis, creating tools to allow you to analyze current and future data, and with data visualization, creating figures for publications, technical reports, or for customers.