Research

Research interests and current directions

My research sits at the intersection of quantum computing and high-performance computing (HPC). I am interested in the systems and methods needed to turn emerging computational capabilities into practical tools.

Quantum computing systems

I study the computational stack around quantum systems—from algorithms and execution models to the classical resources that support them. The goal is to identify system-level opportunities for improving efficiency, scalability, and reliability.

High-performance computing

HPC provides both a foundation and a set of tools for emerging workloads. My interests include parallel methods, accelerator-aware computation, and performance engineering across the software–hardware boundary.

Quantum–classical computing

Useful quantum computing depends on close interaction with classical systems. I am particularly interested in how hybrid workflows can be designed, scheduled, and optimized as coherent end-to-end systems.