Co-developed the blocked fast Walsh–Hadamard transform (BFWHT), an exact set-covering decoder for the low-weight binary closest vector problem, with CUDA/GPU implementations benchmarked on A100-class hardware. Built the end-to-end Decoded Quantum Interferometry (DQI) research codebase with interchangeable decoders and reversible resource estimation, and executed on a 156-qubit IBM QPU.

• Designed a quantum-kernel/SVM pipeline in Qiskit for network intrusion detection, achieving 85%+ accuracy on RPI's 127-qubit IBM Quantum System One. Built the reproducible QML-NIDS codebase and first-authored the resulting AAAI QIML proceedings paper.
• Work expanded into cross-university projects involving the use of QML for phishing and malware detection, employing a kernel-optimized version of the original QML NIDS workflow.

• Quantum chemistry research--ongoing work at RPI with Dr. Osama Raisuddin on exploring circuit optimization via constant-depth Pauli exponential decomposition for use in molecular simulation with variational quantum eigensolvers.
• QML research in collaboration with Dr. Brian McDermott at RPI and the Naval Nuclear Laboratory on evaluating the NISQ performance of quantum methods using 3-SAT and DQI.
• Studied hybrid quantum-classical transformers for the traveling salesman problem alongside graduate researchers at the Chinese University of Hong Kong.
• (2023-2024)--cybersecurity research with Dr. Brian Callahan at RPI--Developed augmented-reality CTF challenges in steganography, DNS poisoning, and MFA bypass; coauthored a CISSE journal article and ASIA proceedings paper on generative AI and cybersecurity pedagogy.

Under Dr. Brian Callahan developed augmented-reality CTF challenges in steganography, DNS poisoning, and MFA bypass; coauthored a CISSE journal article and ASIA proceedings paper on generative AI and cybersecurity pedagogy.