Data Scientist working on algorithmic recommendations.

Data science and quantitative user experience research for augmented reality in Meta's Reality Labs division- Behavioral modeling- Data engineering- Large Language Models- Recommender systems- User classification

Causality in Cognition Lab; Principal Investigator Tobias Gerstenberg, PhDFellowship partially funded by the Stanford Institute for Human-Centered Artificial Intelligence- Used Bayesian generalized mixed-level models (brms, Stan) to predict behavior in nested survey designs. - Predict positive/negative attitudes about others with Bayesian inference models (80-90% accuracy).- Fit models with MCMC, Nelder-Mead, grid search; compared models using k-fold cross-validation, inferential statistics, and Bayesian model selection (BIC).- Extensive experience conceptualizing, designing, and executing custom online experiments (Amazon Mechanical Turk, Prolific).- Work presented in 5 conferences / invited talks to universities.

Ph.D. in Experimental Psychology; Principal Investigator Bob Rehder, PhD.- Used machine learning models (Bayesian modeling, causal graphical models, neural networks) to predict the decisions people make. - Designed, implemented, and analyzed results of large-scale online experiments (~2,500 participants, Amazon Mechanical Turk). - Findings and models presented at major conferences in psychology (Cognitive Science Conference) and artificial intelligence (NeurIPS, ICLR).

Lectured in two courses for the Department of Psychology- Master's Statistics: advanced statistics for Master's students in the Department of Psychology. Topics covered included linear and logistic regression, ANOVA, and inferential statistics.- Introduction to Cognition: undergraduate course covering experiment design and topics in memory, perception, and decision-making.

Consulted for University-wide needs for technical assistance. Specialized in media technology, particularly video (Adobe premiere pro) and image editing (Adobe photoshop).