About Me

Welcome! I'm a health psychology researcher, data scientist, and research designer at the University of California, San Francisco.

My research has focused on technological innovations that can help people learn valuable health and coping skills, and remember to use them in real life, at the moment they're needed.

I have collaborated with experts on HIV, diabetes, and depression to adapt their interventions for delivery over the web, and then worked with study participants to tweak everything from the language of the lessons to the timing of daily reminder emails. I currently specialize in text messaging based assessments, which allow researchers to measure, and sometimes intervene in, fleeting experiences like food cravings (for patients on medically restricted diets) and feelings of shame (for drug abusers at risk of relapse).

I love working on all aspects of the research process, from framing the initial research questions, to providing consultation on how to structure assessments, to designing custom web interfaces and text messaging applications to suit the specific needs of each study. I also specialize in regression and multilevel modeling techniques that allow us to take advantage of these complex datasets once the study is complete!

My technical skills include data analysis in R and SPSS, and data processing and manipulation with Python and SQL. I also have many years of experience summarizing, visualizing, and writing up the results of analyses to help make complex results easy to understand. My current work projects involve a great deal of PHP hacking -- I wrote the platform we use for text messaging and presenting web-based questionnaires. Coding is fun, but to be honest, I'd rather be working on data!

I also volunteer with the Open Science Collaboration, one of the leading organizations in the current open science revolution. It's been great to watch the journals in my field gradually come around to the importance of pre-registering hypotheses and sharing data.