I am a theoretical and applied ecologist at the University of California, Berkeley, where my research aims to develop new quantitative methods and data sets for predicting the effects of global change on biodiversity. I have a particular interest in the application of statistical mechanical approaches to ecology and the use of acoustic sensor networks to collect biodiversity data.
I use a variety of mathematical, computational, and statistical techniques in my research, as described in my publications, and have developed several open source software packages that support efficient and reproducible data analysis and theory testing. I also conduct research on "footprint accounting" tools for sustainable consumption and on frameworks for achieving reproducibility in modern scientific research.
I am currently a Postdoctoral Scholar in the Energy and Resources Group and a Data Science Fellow at the Berkeley Institute for Data Science at the University of California, Berkeley. I am also an Adjunct Senior Scientist at Global Footprint Network.