I'm a Data Science Fellow at Insight Data Science as well as a PhD candidate in social psychology working with Josh Ackerman at the University of Michigan. More broadly, I have 10 years of experience conducting research in the social sciences with a focus on motivation and social cognition. I'm skilled in statistical modeling, machine learning, and experimental design. I'm looking to my leverage research and analytical skills to help businesses solve problems (my resume).
As a Data Science Fellow, I spent 7 (intense) weeks honing my skills in computer science fundamentals, applied statistical modeling, and machine learning. During four of those weeks, I developed a Flask web application—Next Escape (nextescape.me)—that simplifies web searches for users looking for an ideal escape room or escape rooms similar to ones they’ve played and enjoyed before (GitHub | Slides).
As a psychology researcher, I use advanced methods and statistics to study how both modern and evolutionarily-relevant threats affect how people perceive themselves and others. For example, in my current work, I use the reverse correlation image classification task to estimate mental representations of infected persons. I’m also conducting a Cross-Temporal Meta-Analysis to test whether stereotype threat effects have dissapated over time, depending on negatively stereotyped group (e.g., Women, Black Americans).
I’m asking three main questions right now: (1) How do people mentally represent threatening persons, (2) How do people use emotional expressions in trait judgements, and (3) What are the effects of negative stereotypes changing over time?
M.S. in Social Psychology, 2017
University of Michigan
B.S. in Neuroscience, 2012
University of St. Thomas (MN)