I am a data scientist and AI researcher.
On the data science / industry side, I am interested in tackling real-world challenges that lie at the intersection of justice and policy. I currently provide data science support to policy makers, research managers, and executive stakeholders at the federal level.
On the AI research side, I am interested in natural language processing (NLP) and large language models (LLMs). Specifically, I am interested in understanding how NLP-based models can better extract knowledge from textual structure (type embeddings, type information, knowledge base triples, etc.), with the overall aim of better refining LLM legal reasoning (trustworthiness, robustness, and safety).
On the AI policy side, I am doubly interested in the (1) ethical deployment of LLMs and in (2) deploying LLMs in underserved legal-political applications. From the deployment angle, I am interested in policies surrounding ethical regulation of LLMs (AI Safety), and from the application angle, I am most interested in LLM-assisted legal compliance cases, with extension into areas related to mass adjudication and fair-and-speedy-trials.
Beyond my professional and research interests, I am an avid fan of all things gamified problem-solving: board games, escape rooms, speed puzzling, and murder mysteries. I also enjoy backpacking and boba.