Education
University of Florida — Ph.D., Electrical & Computer Engineering (expected 2030)
University of Florida — B.S., Electrical & Computer Engineering (2020–2025)
Doral Academy Charter School — STEM diploma (2013–2020)
About
About Raul Valle
I am a Ph.D. student in Electrical and Computer Engineering at the University of Florida, working across signal processing, time-series machine learning, neuroengineering, and research software. My goal is to build mathematically grounded systems that stay useful when they meet real biological data, real hardware, and real deployment constraints.
The work that matters most to me sits at the intersection of signals and systems, controls, machine learning, and neurotechnology. I care about models that remain interpretable under noise, limited data, and practical hardware limits instead of only looking good in idealized benchmarks.
Affiliations and profiles
My current work is connected to UF ECE, the Computational NeuroEngineering Lab, and IEEE Signal Processing Society activities at UF.
Research approach
How I think about the work
I favor problems where modeling assumptions, signal quality, and system design all interact. In practice that means thinking about the data collection stack, the mathematics, and the evaluation pipeline together rather than pretending they are separate tasks.
That mindset carries into teaching and community work too. If a concept cannot survive being explained clearly, tested, and reused by someone else, the pipeline is probably not rigorous enough yet.
Primary topics
Signal processing
Time-series ML
Neuroengineering
Research software
Secondary interests
Controls
Embedded systems
GPU acceleration
Technical writing
Outside the lab
Photography, music, and training matter to me for the same reason research does: they reward discipline, iteration, and attention to detail.
Writing, recognition, and visual work
Writing
Research notes and commentary
Short reflections, paper notes, and research journal entries connected to signal processing, machine learning, and neuroengineering.
Recognition
Awards and milestones
Selected recognitions tied to research, hackathons, computing, and public-facing project work.
Photography
Selected visual work
A small personal portfolio: live music, portraits, and the occasional experiment with light.