- Ph.D., Electrical & Computer Engineering — University of Florida, Gainesville, FL (expected 2030). Concentration: analysis, signal processing, and machine learning.
- B.S., Electrical & Computer Engineering — University of Florida (2020–2025)
- STEM diploma — Doral Academy Charter School (2013–2020)
Curriculum vitae
Curriculum vitae
Ph.D. student in Electrical and Computer Engineering at the University of Florida, working on machine-learning surrogates for physics simulation, signal processing, time-series machine learning, and neuroengineering.
Education
Research experience
SmartDATA Lab, University of Florida
- Surrogate modeling for computational fluid dynamics: learned stand-ins for expensive CFD solvers spanning neural operators (FNO/DeepONet), mesh-based graph networks, physics-informed training, and reduced-order latent dynamics, evaluated on rollout stability, physical consistency, and generalization.
Computational NeuroEngineering Lab (CNEL), University of Florida
- Latent-signal classification with hierarchical dynamical systems: state-space modeling (Hierarchical Linear Dynamical Systems) that turns noisy multichannel observations into compact hidden time-series trajectories evaluated for prediction and separability.
- Zebrafish voltage imaging: statistical event detection for 2D voltage-imaging video using CFAR-style detectors and a Quadratic Gamma Discriminator, producing interpretable maps for downstream analysis.
- Time-series ML experiment infrastructure: standardized configs, runs, metrics, and plots so model comparisons stay fair and repeatable, with GPU acceleration.
IEEE Signal Processing Society at UF
- Designed and taught the "Foundations of Signal Processing" workshop series connecting analysis, probability, and machine learning to applied signal-processing case studies (recorded at the DSI Spring Symposium 2025).
- Led student-facing research engineering projects including Aude (end-to-end audio research workflow: synchronized microphone-array data, benchmark state-of-the-art baselines, source separation and localization models).
- Taught analysis and machine learning with Jupyter to UF students, pairing theory with runnable notebooks.
Publications and talks
- Plato's Cave: A Human-Centered Research Verification System — arXiv preprint, March 2026. arxiv.org/abs/2603.23526
- Foundations of Signal Processing (talk) — UF Data Science & Informatics, DSI Spring Symposium 2025. Recording
Recognition
- UF HiPerGator Early Career Award — 2025 · University of Florida
- UF GatorHack — 1st Place — 2025 · University of Florida (GatorHack)
- UF GatorHack — Most Popular — 2024 · University of Florida (GatorHack)
- UF AI Days Hackathon — Most Popular — 2024 · University of Florida (AI Days Hackathon)
- ShellHacks — Most Popular — 2024 · ShellHacks
- ASA DataFest — 1st Place — 2024 · American Statistical Association (DataFest)
- OSC Hackathon — 2nd Place & AI Hack — 2024 · OSC Hackathon
- FGLSAMP Scholar — 2024–2025 · FGLSAMP
- Bright Futures Scholar — 2020–2025 · Bright Futures
Skills
Methods
Surrogate modeling
Physics-informed ML
Signal processing
State-space modeling
Time-series ML
Statistical detection
Tools
Python
NumPy
PyTorch / CuPy (GPU)
Jupyter
Experiment tracking
Embedded systems
Affiliations and identifiers
Affiliations
- University of Florida
- UF Department of Electrical & Computer Engineering
- SmartDATA Lab
- Computational NeuroEngineering Lab
- IEEE Signal Processing Society at the University of Florida
Identifiers
Official UF mentions
- UF AI biography — HiPerGator Early Career Award profile.
- UF student hackers enter 'Plato's Cave' for first-place win — UF ECE coverage.
- DSI Spring Symposium 2025 — workshop talk context.