I work at the intersection of physics, chemistry, and electrical engineering to advance quantum materials and devices.
I'm a graduate student in Quantum Science and Technology at Columbia University, working on experimental condensed matter physics and quantum materials. My background is in computer science, and that foundation in algorithms and software systems still shapes how I approach experimental problems — I'm as comfortable writing a simulation pipeline as I am troubleshooting a cryostat.
This summer I was a Graduate Research Intern at Brookhaven National Laboratory, working within the DOE-funded C2QA program under Professor Abhay Pasupathy. My work centers on ZrN thin-film characterization for superconducting qubits — synthesizing films by reactive sputtering and characterizing them through cryogenic transport measurements, AFM, XRD, and XPS, with the goal of understanding and reducing two-level-system (TLS) defects that limit qubit coherence times.
I earned my B.S. in Computer Science from Rutgers University (2024), with coursework in algorithms, machine learning, and software systems. Earlier research included quantum information software (a QKD simulation and an LOCC visualizer at the Von Neumann Lab), quantum transport modeling at Sila Labs, and experimental work in the Pasupathy Lab on NV-center systems.
You can see selected work on the Work page.
I'm applying to PhD programs for fall 2027, weighing Applied Physics against adjacent paths in electrical engineering and chemistry, with programs including Columbia, Cornell, Harvard, and Stanford on my radar. The throughline is quantum materials for hardware — I'm aiming for research roles in quantum engineering and device development, at places like IBM, Google Quantum or a national lab, where materials work translates directly into more capable qubits.
Outside the lab, I love going to the gym, read across physics and philosophy, and write.