"To bridge the gap between theoretical physics and engineered systems, leveraging computational modeling to design intelligent, autonomous behaviors in the physical world."
I am an Applied Physics student at Columbia University with a research focus on computational modeling of physical systems. My work is grounded in plasma physics and nonlinear dynamics, where I develop reduced computational models to analyze collective behavior, stability, and transport in complex physical systems.
Alongside this, I am increasingly interested in robotics and autonomous systems as a natural extension of my training—particularly in how physical principles, control, and computation come together to produce intelligent, real-world behavior. I view robotics not as a separate discipline, but as a physical system that demands the same rigor as theoretical and computational physics.
My long-term goal is to work at the intersection of physics, computation, and engineered systems, contributing both to fundamental understanding and to the design of systems that interact meaningfully with the physical world.
2025 - Present
The Fu Foundation School of Engineering and Applied Science
2022 - 2025
Magna Cum Laude
Scientific Portfolio
CUNY Queens College
Astro-computing Research
Academic Outreach
Hosted by CUNY Queens College
"Characterizing Crowdedness in TESS Images"
University of Hawaii & TASC/KASC
"Characterizing Crowdedness in TESS Images"
Flatiron Institute & Simons Foundation
"Measuring Crowdedness in TESS Photometric Images"
Engineering Portfolio
Omniscient Reasoning & Intelligence Operations Network
Personal AI Assistant System
A JARVIS-inspired AI assistant designed as a modular brain system for future robotics platforms. Built on a FastAPI/Python backend with extensible subsystem architecture. ORION serves as the central intelligence layer, orchestrating task planning, memory, and real-time decision-making.
Autonomous Terrain & Hazard Exploration Navigation Agent
An interactive 3D rover autonomy simulator with real-time A* pathfinding visualization, infinite procedural terrain, slope-aware hazard classification, and a live 3D engineering viewport showing rover mechanics. Watch the AI think as it plans routes across planetary surfaces.
Currently deployed on Mars (Jezero Crater). Future environments — Venus, Europa, Titan, and more — will introduce unique atmospheric pressure, gravity, visibility, and terrain constraints, with adaptive autonomy that learns from each world.
For distinguished scholarship & intent to pursue a career in college teaching.
Awarded for consistent enthusiasm and dedication to physics studies.
Inducted into the nation's most prestigious academic honor society.
Outstanding contribution to the Summer Undergraduate Research Program.
Recognition for impactful collaboration in intensive research.
Currently open to collaborative research opportunities and academic discussions. Feel free to reach out via any of the platforms below.
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