I am currently a postdoctoral scientist at the Behavioral Science for Policy Lab at Princeton University. At Princeton, I am primarily working on analysis and write up of a large-scale multi-method study on behavioral responses to climate change and air pollution (ICAPP). I completed my PhD in quantitative psychology at Columbia University with a specialization in data science as an IGERT fellow with the computer science department. I am an affiliate scientist at the European Institute on Economics and the Environment (EIEE). I work on developing computational methods for use in behavioral research. My methodological expertise includes text analysis, machine learning, big data mining, survey design, behavioral experiments, and regression analysis.
I have experience teaching introductory statistics and graduate level statistics for behavioral science.
In 2020, I developed a new course for Columbia University titled Behavioral Data Science. See the syllabus, lab assignment examples , student reviews [here] and a mini-lecture for more information.
ms4403 [at] columbia [dot] edu
403b Schermerhorn Hall
1190 Amsterdam Ave
New York, NY, 10026