I'm a Computer Science and Cognitive Science student at Vassar College interested in software engineering, AI/ML, and human-AI interaction.

I'm currently doing URSI research at Vassar studying whether browser-based psychology experiments can distinguish humans from LLM/browser agents. My work involves building autonomous agents with Playwright and LLM APIs to complete jsPsych experiments, then testing which behavioral signals still separate them from real participants.

• jspsych-rt-experiment: Browser-based reaction-time experiment for collecting human baseline data in bot-detection research.
• depression-prediction-nhanes: Predictive modeling project using NHANES survey data to evaluate depression risk with regression, classification, and machine learning models.

• Contributed merged maintenance and security fixes to the jsPsych ecosystem, including GitHub Actions hardening in jspsych/jspsych-contrib, pinned workflow dependencies in jspsych/jspsych-contrib, and Husky/pre-commit tooling updates in jspsych/jspsych-timelines.

Java, Python, R, C, OCaml, RISC-V Assembly, LaTeX; project experience with JavaScript/TypeScript, Playwright, jsPsych, and Git

• Email: ajbrown@vassar.edu
• LinkedIn: Aiden Brown