Curriculum Vitae

Clemson Quantum Group. Research focus on quantum computing, topological condensed matter, and quantum machine learning.

Developing VQE frameworks for topological superconductor identification. Building CNN and quantum ML pipelines for Majorana zero mode prediction. Contributing to the group website and educational outreach materials.

Reed-Muller decoding-based Clifford+T circuit optimizer (rmsynth).

NeurotiQ: hybrid QNN/QSVM for EEG analysis with PennyLane and Streamlit.

Quantum kernels (QSVM, QNN, Cirq) for tornado prediction.

Cat qubit simulation for Alice & Bob open quantum systems challenge.

Quantum system simulation scripts and tools at scale.

Designed and maintain an educational quantum circuit simulation activity to introduce quantum computing concepts to new learners.

Develop and maintain the group website (Next.js, React, TypeScript) to share research, member profiles, and news.