Early Indicators of Student Success
Classroom learning conditions can serve as actionable early indicators of later math outcomes, helping educators intervene sooner.
About
I’m a data scientist with a PhD in social psychology. My work sits at the intersection of behavioral science, experimentation, and applied analytics, with experience spanning digital health, education research, and product-focused data work.
I’m especially interested in problems where careful measurement changes real decisions: designing experiments, working with longitudinal and behavioral data, building predictive models, and translating technical results into something a product, research, or leadership team can actually use.
Alongside my analytic work, I maintain a studio art practice in encaustic, cold wax, and watercolor.
Project work
Product analytics, research, and studio art — use the filters to focus on one thread.
Next Mission Group Chrome Extension
Built an MVP Chrome extension to help veterans translate military experience into civilian job matches using profile data, ontology mapping, scoring logic, and LLM-assisted analysis.
Pesticide Risk & Respiratory Health Modeling
Built county-level predictive models combining pesticide use, cropland, and public health data to identify regions with elevated asthma and COPD burden.
RSV Vaccine Attitudes in a Digital Health Intervention
Analyzed unsolicited SMS replies from adults over 60 to understand attitudes toward RSV vaccination and identify behavior-change signals that could improve digital outreach.
Example studio piece
Template page for art with an optional purchase link—duplicate this folder for each work you want to feature.
Reward Representations and Mindsets
fMRI and RSA on how mindsets shape neural representations of food rewards.
Predicting Self Regulation Across Adolescence
Neuroimaging and multimodal markers of adolescent self-regulation and substance use risk.