2022: Invented a corollary for the Newton-Gauss Theorem, winning the Best Conference Paper Award at the IEEE International Conference on Knowledge Innovation and Invention (IEEE ICKII).
2023: Awarded the U.S. Congressional Special Recognition Award and the California Legislature Award.
2024: Invited speaker at the American Mathematical Society (AMS), recognized for contributions to coordinate geometry systems.
2024: Began studies as a freshman at Stanford University, intending to study a technical discipline such as Mathematics or Computer Science; continuing research into AI-driven optimization for energy and sustainability
2025: Began research at Stanford University’s Pervasive Parallelism Lab on AI agent cache systems for large language model (LLM) applications.
2025: Published “Enhancing the Binary Classification of Wildfire Smoke Through Vision-Language Models” at the 2024 IEEE Conference on Artificial Intelligence, Science, Engineering, and Technology (AIxSET), introducing a state-of-the-art method for wildfire detection.
2025: Authored 15+ graduate-level research papers in applied mathematics, artificial intelligence, and energy systems; published in IEEE journals with 14+ total paper citations.

My goal is to advance artificial intelligence and mathematical systems to solve global challenges in energy and sustainability. As a student at Stanford University majoring in Mathematics and Computer Science, and as a member of the Masason Foundation, I aim to deepen my research into AI agents and energy systems while collaborating with other passionate innovators. I aspire to create AI-driven systems that turn theoretical models into practical solutions, ultimately building a company to scale these technologies and improve energy systems worldwide.