Alejandro Baraona

I am a graduate student in Electrical and Computer Engineering at the University of Texas at Austin, where I work as a Graduate Research Assistant in the Wang Lab. My research focuses on signal processing and adaptive machine learning for challenging acoustic environments, developing speaker-adaptive architectures that extract and interpret meaningful signal features under conditions of high variability and noise, across diverse speaker populations at scale.

My undergraduate work at Northeastern grounded me in physical sensing systems: PCB design, embedded firmware, RF wireless systems including BLE, and sensor integration in a regulated instrumentation environment. My graduate research addresses the computational layer: adaptive signal processing pipelines, feature conditioning, and large-scale model training on HPC clusters. I am drawn to problems where what the hardware can measure determines what the algorithm can solve, and where both must be optimized together.

My current research interests center on sensor design and physical signal acquisition, with applications in biomedical and wireless sensing systems.