Applied Mathematics & Computer Science · Universidad del Rosario · Bogotá, Colombia
I'm an undergraduate interested in how people and artificial agents learn, coordinate, and make decisions. Here you'll find my work on recurrent networks, collective search, and reinforcement learning, alongside systems programming and simulation projects.
My interests span computational neuroscience, NeuroAI, reinforcement learning, and reliable AI. I like building models, testing their assumptions, and figuring out why a promising result changes under better controls.
| Project | What you'll find |
|---|---|
| SCRES | Supply-chain simulations, reinforcement-learning experiments, and comparisons against structured control policies. Research with Alexander Garrido. |
| Spectral Cognitive Labor | My independent reanalysis of public human collective-search data using spectral graph methods and symmetry-aware comparisons. |
| Motor RNNs | A Neuromatch Computational Neuroscience team project on recurrent connectivity, followed by my independent fixed-plasticity control. |
| HeliOS | A collaborative educational RISC-V kernel in C to which I contributed. |
| ChaosLab | An interactive double-pendulum simulation with energy checks, phase-space trajectories, and flip-time maps. |
Modelling & analysis: Python, PyTorch, NumPy, SciPy, NetworkX, SimPy, Gymnasium, R.
Software: C, SQL, FastAPI, Git, pytest, Linux, LaTeX.
Open to research internships and collaborations in learning systems, computational neuroscience, and reliable AI.