Research assistant with 5+ years of programming expertise, specializing in the mathematics of intelligent systems. Currently pursuing BS in Mathematics of Computation and BA in Philosophy at UCLA. Pursuing a generalist career in AI safety strategy and operations.

Exploring how networks of agents interact to form emergent collectives using tools from spectral graph theory, active inference, statistical mechanics, and applied category theory, with the ultimate goal of developing a general mathematics of collective intelligence. This work began as part of the Supervised Program for Alignment Research (SPAR).

Analyzed spectral data from 700,000+ supermassive black holes, using dimensionality reduction techniques (PCA, UMAP, Autoencoders, etc.) to develop a novel classification system for active galactic nuclei.

Leveraged computational biology methods (Mendelian randomization) using R to analyze several genome-wide association studies of more than 115,000 individuals. Established causal links between 29 metabolites and Multiple Sclerosis.

Board member of UCLA's AI safety organization. Lead programming for flagship events, facilitate weekly board meetings, and TA for the AI safety fellowship pipeline that introduces UCLA students to alignment research.

Developed a platform that transforms academic papers into an interactive knowledge graph, enabling visual exploration of relationships, AI-assisted summaries, and similarity-based discovery. Built with React Native, D3.js, Flask, Supabase, and a cloud-deployed similarity model integrated with RAG pipelines. Won first place at the ACM × Intel Hackathon.

Co-founded nonprofit focused on improving financial literacy among youth. Led 18-member team providing 1:1 tutoring & resources for people in 7 countries, and raised $2,000 as treasurer.

Facilitate the needs of various departments on set in an expeditious and efficient manner across various productions. Occasionally supervise newer PAs as they become acclimated to the fast-paced environment of film sets.

UCLA: Data Structures and Algorithms, Linear Algebra, Probability Theory and Statistics. AI Safety at UCLA: Reinforcement Learning, AI Governance. CSUF: Multivariable Calculus, Linear Differential Equations. Independent: Machine Learning (Coursera), Category Theory (UCLA Mathematics DRP).