I am a quantitative researcher with over 7 years of experience designing experiments and analyzing data in both industry and academia. In my work, I formulate hypotheses, design experiments, and apply statistical tools to address the hypotheses, derive insights, and tell stories.

I am currently finishing my PhD in the Human-Computer Interaction Institute at Carnegie Mellon University. Advised by Jason Hong and Robert Kraut, I study how social interactions play a role in subjective well-being. Specifically, my research leverages behavioral data collected on smartphones to predict when social interactions happen and through which medium the interactions occur. This powerful method provides an abundance of data, on which I apply statistical models, e.g., hierarchical linear models, to understand the role of social interactions on one's well-being.

Previously, I worked and consulted at Disney Research and Facebook. Before joining the PhD program, I received my B.S. in Cognitive Science at Carnegie Mellon University. Check out my CV or (much shorter) resume.

Selected Projects

Beacon: Decision Aid for COPD Patients

Creating a tool to educate patients about risks and benefits of each treatment for severe Chronic Obstructive Pulmonary Disease (COPD) and help them connect their values and individual circumstances with their treatment choice.