Doctoral candidate at UT San Antonio developing structure-aware and resource-efficient methods for quantum, hybrid quantum–classical, and deep learning systems.
Attended the 60th Asilomar Conference on Signals, Systems, and Computers in Pacific Grove, CA, and presented Depth- and Rank-Selective Multilinear Transformation Layers for Compact CNNs, coauthored with Mayur Dhanaraj and Panagiotis P. Markopoulos.
VQBR Technical Paper Presentation
Presented VQBR: Variational Quantum Bayesian Regression via Measurement-Based MAP Direction Recovery, coauthored with Panagiotis P. Markopoulos, in the Quantum Machine Learning Technical Papers Track at IEEE QCE 2026 in Toronto, Canada.
Presented Parameter-Efficient Multilinear Readout for Quantum Reservoir Computing (ML-QRC), coauthored with Panagiotis P. Markopoulos, at the Workshop on Quantum Machine Learning at IEEE Quantum Week 2026 (QML@QCE) in Toronto, Canada.
Graduate School Academic Travel Fund, UT San Antonio
Awarded US$750 to support presentation at IEEE Quantum Week 2026 (QCE) in Toronto, Canada, in September 2026.
Successful Dissertation Proposal Defense
Successfully defended my dissertation proposal, Structure-Aware and Resource-Efficient Quantum–Classical Learning, at UT San Antonio.
Graduate Teaching Assistant, UT San Antonio
Supporting EE 3233: System Programming for Engineers through recitation and laboratory instruction, office hours, grading, and student support.
Lead Organizer, Qiskit Fall Fest 2026
Selected by IBM Quantum as lead organizer for The University of Texas at San Antonio’s Partner Plus Qiskit Fall Fest 2026 event. Organizer confirmation.
