You can contact me at williamhryan [at] gmail [dot] com or wryan [at] berkeley [dot] edu.
I graduated Harvard with a BA in 2014. After graduation I worked at TGG Group, a behavioral economics consulting firm founded by Daniel Kahneman, Steve Levitt, and other academics and business leaders. While there I ran field experiments and did econometric analysis for businesses, governments, and non-profits. After leaving TGG, I completed a Post-Baccalaureate program in Psychology at UC Berkeley, working in Anne Collin's Computational Cognitive Neuroscience Lab, before entering my PhD at Berkeley in 2019. At Berkeley I work with most of the behavioral marketing faculty on a variety of projects.
Invited revision at Psychological Science
William H. Ryan*, Stephen M. Baum* (co-first author) and Ellen R.K. Evers
Kristin Donnelly, William H. Ryan, and Leif Nelson
There is a collector in every consumer
Ellen R.K. Evers, William H. Ryan, and Siegwart Lindenberg
William H. Ryan and Ellen R.K. Evers.
Collabra: Psychology (2021)
William H. Ryan, Ellen R.K. Evers, and Don A. Moore
Behavioral Science & Policy (2020)
William H. Ryan and Ellen R.K. Evers
Psychological Bulletin (2020)
Justin Landy, ... , William H. Ryan & other members of the Crowdsourcing Hypothesis Tests Collaboration
Illustrated Research Projects
Below are some images an AI generated when I gave it a sentence describing the key finding of one of the above projects. The description I used is below each image. If you want to try this as well, I made a post on it.
"Using Poisson regressions on count data results in a lot of false positives"
"When anticipating regret people ask themselves, 'If I get a bad outcome, how often is it my fault?'"
"When people view something multiple times they make judgments about it as though it actually happened multiple times"
"Collecting is very common, and collectors are mostly just normal people even though research on extreme collectors suggested otherwise"
"Logarithmic axis graphs make COVID-19 data look less scary"
"A bunch of researchers predicted the results of many experiments resting the same hypothesis, and were pretty good at it"