Undergraduate in Applied Mathematics & Computer Science at Universidad del Rosario (Bogotá, Colombia), on a national merit scholarship. I am working toward a research career in NeuroAI and computational neuroscience — at the intersection of the Free Energy Principle / Active Inference, reinforcement learning, and collective behavior.
My work sits between mathematics, machine learning, and the study of how agents — biological or artificial — coordinate and adapt under uncertainty. I try to keep what I build reproducible, honestly scoped, and grounded in theory.
- Collective behavior & multi-agent coordination with Prof. Edgar Andrade-Lotero (UC Davis) — behavioral experiments built on PsyNet, and a spectral / graph-theoretic reanalysis of self-organized division of cognitive labor.
- Supply-chain resilience as a learned capability with Prof. Alexander Garrido — PPO-based reinforcement learning over discrete-event simulations of disruption (manuscript in preparation).
- Incoming participant — Neuromatch Academy 2026, NeuroAI track.
| Project | Summary |
|---|---|
| scres-ia | Hybrid discrete-event simulation + reinforcement-learning framework for supply-chain resilience research. |
| spectral-cognitive-labor | Symmetry-aware spectral graph reanalysis of a division-of-cognitive-labor experiment, with reproducible metrics. |
| HeliOS | Educational RISC-V 64 kernel: QEMU boot, scheduling, timer interrupts, synchronization, and CI smoke tests. |
Python · PyTorch · Gymnasium / Stable-Baselines3 · NumPy / SciPy · SimPy · NetworkX · C · LaTeX · reproducible pipelines (Make, pytest, CI)
- Bogotá, Colombia
- Academic: thomas.chisica@urosario.edu.co
- Personal: chisicathomas@gmail.com