# Camilo Chacón Sartori

> Postdoctoral researcher at the Catalan Institute of Nanoscience and Nanotechnology (ICN2) in Barcelona, Spain.

## About

Camilo Chacón Sartori is a Chilean software engineer, researcher, and writer based in Barcelona. He holds a Ph.D. in Computer Science & AI from the Artificial Intelligence Research Institute (IIIA-CSIC) and the Autonomous University of Barcelona (UAB), earning the highest distinction: Excellent (Cum Laude). His research connects AI for Science, combinatorial optimization, evolutionary computing, and philosophy of computation.

## Current Position

- Postdoctoral Researcher at ICN2 (Catalan Institute of Nanoscience and Nanotechnology), Barcelona
- Research group: Theoretical and Computational Nanoscience
- Focus: AI for Science, computational optimization, evolutionary computing

## Research Interests

- AI for Science and computational optimization
- Combinatorial optimization using Large Language Models (LLMs)
- Evolutionary algorithms and metaheuristics
- Philosophy of computation and AI
- Machine Learning

## Selected Publications

### 2026
- "EMPATH: A Multilingual Auditor-Judge Benchmark for Safety Evaluation of Emotional-Support Chatbots" — Preprint, arXiv:2606.30256 (industrial collaboration with MindSurf)
- "Architectures of Error: A Philosophical Inquiry into Human and AI Code" — Accepted at Philosophy & Technology (Springer)
- "Code World Models for Parameter Control in Evolutionary Algorithms" — Preprint
- "Coherent Without Grounding, Grounded Without Success: The Bidirectional Coherence Paradox in Artificial Epistemic Agents" — Preprint
- "Combinatorial Optimization for All: Using LLMs to Aid Non-Experts in Improving Optimization Algorithms" — Accepted at Inteligencia Artificial (IBERAMIA)

### 2025
- "irace-evo: Automatic Algorithm Configuration Extended With LLM-Based Code Evolution" — Preprint
- "A Short Bibliometric Review of Metaheuristics" — Conference Paper
- "Optimizing the Optimizer: An Example Showing the Power of LLM Code Generation" — Conference Paper (FedCSIS)
- "LLM-Based Instance-Driven Heuristic Bias In the Context of a Biased Random Key Genetic Algorithm" — Preprint
- "STN Analytics: A tool for the visual analysis of Search Trajectory Networks" — Tool
- "Metaheuristics and Large Language Models Join Forces: Toward an Integrated Optimization Approach" — Journal Paper
- Doctoral Thesis: "Improving Optimization Algorithms via Machine Learning and Visualization Tools" — Excellent (Cum Laude)

## Books

- "CriterIA. Piense antes de pedirle a la IA" (2026) — first volume of a four-book series on Generative AI (Marcombo)
- "Palabras y Algoritmos. ¿Cómo la Inteligencia Artificial transformará la escritura?" (2025)

## Education

- Ph.D. in Computer Science & AI — IIIA-CSIC / UAB (Excellent, Cum Laude)
- Consistently awarded the highest academic distinction (Maximum Honors / Cum Laude) across Bachelor's, Master's, and Doctoral studies

## Contact

- Website: https://camilochacon.com