About Me
I'm a developmental psychologist and data scientist whose research focuses on how cognitive performance, educational opportunities, and workforce outcomes change over time and across contexts. I use methods from psychometrics, applied economics, data science, and machine learning to investigate questions that have direct implications for cognitive science, educational technology, and public policy.
My current projects and opportunities are listed below. For a complete overview of my research and experience, please go to my Digital CV.
Current Research Opportunities for 5C Students
Students are actively involved in all stages of the research process, including literature searches, study design, data analysis, and writing. Most go on to present their work at professional conferences. Some go on to co-author publications and earn student research awards. If you are a current Claremont Colleges undergraduate interested in getting involved, please email me directly.
Longitudinal Methods &
Machine Learning
A central part of my research involves using quantitative and longitudinal methods to measure individual differences and change over time. I am currently applying machine learning techniques, including Support Vector Machines and feature selection, on an eye-tracking dataset containing 10 million+ data points.
>> Students are expected to use/learn Python (preferred) or RStudio; no prior experience is necessary.
Educational Policy
I have published numerous studies on the role of global cognitive trends and assessments in educational decision making. My current work examines the educational trends of K–12 students experiencing homelessness. Interpreting these findings within a policy context is essential as the federal, state, and local policies for this population vary within and between school districts.
>> Preliminary analyses have been conducted in Python, but students may use any stats program. Space on this project is limited.
Tech Adoption &
User Research
I enjoy working on cross-functional teams with engineers, designers, computer scientists, and qualitative researchers to understand how people engage with technology, including GenAI, in their workplace. I am currently using natural language processing techniques on data from a software program designed to help instructors increase learning and critical thinking in STEM courses.
>> All analyses are in Python.
