Advising
I help teams design research and judge whether their evidence holds up, before they fund it, publish it, or act on it.
Research design
Experiments, surveys, and measurement, including online and wearable studies.
Data analysis
Statistical modeling in R, SQL, and Python, from cleaning messy data to a clear answer.
Research review
Evaluating studies, proposals, and evidence claims, including internal studies, vendor reports, and A/B tests.
Workshops and training
Data literacy for non-researchers: reading data, spotting weak evidence, and asking the right questions. Also statistics, research methods, and decision-making for teams.
Track record
- Editorial Fellow at the Journal of Experimental Psychology: Applied
- Peer reviewer for Science, Nature Human Behaviour, Psychological Science, Nature Reviews Psychology, Journal of Experimental Psychology: General, Personality and Social Psychology Bulletin, and others (review record on ORCID)
- Grant and research reviews for funders
- Market research consulting
- Lecturer at Princeton and The New School, teaching statistics, research methods, and judgment and decision-making
Get in touch
I work with companies, foundations, nonprofits, and research teams. I'm always open to new ideas and projects!