I’m an applied mathematics and statistics researcher working on reinforcement learning, deep learning, LLM safety and evaluation, and trustworthy AI.
I’m completing a B.S. in Applied Mathematics & Statistics at Bryant University, expected December 2026.
My current work includes FastCombo, GuidePost, and Black Box to Whom?
Incoming Associate Data Scientist at Opportunity Insights, Harvard University — January 2027.
- FastCombo: Deep reinforcement learning for faster price discovery in partially observed combinatorial auctions.
- Black Box to Whom?: Research on how mechanistic understanding of large language models should be defined, evaluated, and reported.
- Ask Tupper: A security-hardened campus chatbot built with model fine-tuning, retrieval, and layered prompt-injection defenses.
- GuidePost Technologies — Founder & Researcher: Building patrol-routing and coverage decision-support software for public-safety agencies.
- SafeWalk: An open-source iOS and backend system for comparing shortest and risk-weighted walking routes using public incident data.
- MAPFRE Insurance — Advanced Analytics Intern: Worked on model governance, bias assessment, reliability review, and LLM-assisted underwriting workflows.
I contribute to open-source projects across machine learning, reinforcement learning, trustworthy and agentic AI, and LLM systems.