I’m an applied statistician / data scientist, working in both R and Python, with over 11 years of programming experience and 8 peer reviewed publications. I’m fascinated by the ways variability enters a mechanistic process, changing the patterns that emerge in data. I focus on computational approaches for both frequentist and Bayesian frameworks to account for stochasticity in mechanistic models.
I am an organizer for RLadies, a global network of meetup groups to support gender diversity in the R community. I also live with two rescue pups, who I think are really bears just pretending to be dogs. I spend 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