I am a quantum scientist working at the intersection of experimental condensed matter physics, quantum materials, and quantum engineering.
I am a graduate student in Quantum Science and Technology at Columbia University, working at the intersection of experimental condensed matter physics, quantum materials, and quantum engineering.
My path began in computer science — and that foundation in algorithms, simulation, and software systems continues to inform how I approach physical problems. But over the past year, my focus has shifted toward the experimental side: understanding how materials behave at the quantum level, and how that behavior can be engineered to build better quantum devices.
I am equally comfortable writing a simulation pipeline and troubleshooting a cryostat. That combination — experimental intuition backed by computational fluency — is what I am actively developing.
This summer I am a Graduate Research Intern at Brookhaven National Laboratory, working within a DOE-funded quantum information science program. My work involves synthesizing single-crystal superconducting thin films via Molecular Beam Epitaxy (MBE) and characterizing them using ARPES and STM — with the goal of improving coherence times in superconducting qubits.
More broadly, I am interested in:
Through the MS QST program, I am deepening my foundation across both theory and experiment 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 gives me an engineering backbone that I bring directly into experimental and computational physics work — from building simulation tools to designing measurement workflows.
I build tools and conduct experiments that connect physical theory to measurable phenomena — from superconducting thin-film synthesis and surface characterization to tight-binding transport simulations and quantum protocol visualizations.
You can explore selected work on the Work page.
I am pursuing a Ph.D. in Applied Physics with the goal of developing deep expertise in quantum materials and superconducting devices. Long-term, I am drawn to roles in quantum engineering and hardware development at the frontier of what's being built — the kind of work happening at places like Google Quantum AI and IBM Quantum, where advances in materials science directly translate into more capable, reliable quantum systems.
I am particularly interested in environments where experiment, theory, and engineering converge — where understanding a material at the atomic level connects directly to building a better qubit.
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.