I work as a quantum engineer building simulation frameworks, modeling tools, and research systems for complex physical problems.
I am a graduate student in Quantum Science and Technology at Columbia University focused on quantum simulation, computational physics, and applications of quantum systems to problems in materials, energy, and fundamental physics.
My work sits at the intersection of theory, computation, and experiment. I design simulation pipelines and numerical models — but I am equally motivated by understanding the underlying physics and engaging with real experimental systems. I’m interested in how abstract quantum models connect to measurable phenomena and how simulation can accelerate discovery in physical systems.
I focus on quantum simulation as a framework for understanding complex physical systems, particularly in contexts involving:
Through the MS QST program, I am strengthening my foundation in quantum theory and advanced modeling through coursework such as:
I earned my B.S. in Computer Science from Rutgers University (May 2024). My training in algorithms, optimization, machine learning, and software systems provides the engineering backbone for my work in quantum simulation:
I build tools that connect physical theory to computation — from tight-binding transport simulations to quantum protocol visualizations and hybrid quantum-classical modeling systems.
You can explore selected work on the Work page.
I am pursuing roles and research opportunities in quantum engineering, simulation infrastructure, and computational physics — particularly in environments where modeling, experimentation, and system design converge.
Outside the lab, I train for distance running, read across physics and philosophy, and write. I’m drawn to problems that reward patience, rigor, and long-horizon thinking.