Researcher & Writer

Camilo
Chacón Sartori

"Situated at the confluence of Artificial Intelligence, Computational Optimization, and the Philosophy of Artificial Fallibility."

Google Scholar ResearchGate
Scroll
Camilo Chacón Sartori

Code as Human Language

I am a Chilean Software Engineer and researcher based in Barcelona. I hold a Ph.D. in Computer Science & AI from the Artificial Intelligence Research Institute (IIIA-CSIC) & Autonomous University of Barcelona (UAB).

My work is not confined to technical syntax; I explore the epistemological foundations of what we construct. From combinatorial optimization to the ethics of algorithms, I seek to understand not only how machines function, but what they signify about us.

I author both technical and essayistic works, attempting to bridge two seemingly irreconcilable worlds: the trial-and-error approach of building software and the fluidity of philosophical thought—a duality I currently explore through the lens of "Architectures of Error".

✦

Academic Consistency

Consistently awarded the highest academic distinction (Maximum Honors / Cum Laude) across Bachelor's, Master's, and Doctoral studies.

Research & Thought

Areas of interest and academic digressions.

I

Artificial Intelligence

Research focused on optimization algorithms and multi-agent systems. Exploring how machines can solve complex problems in a distributed manner.

II

Philosophy of Computation

Differentiating the causal origins of human-cognitive versus artificial-stochastic systems. An epistemic inquiry into how these divergent architectures manifest as distinct "Architectures of Error" in code generation.

III

Industrial Consulting

Acquiring industry knowledge through high-level consultancy. A profound interest in solving real-world problems by bridging the gap between theoretical research and tangible software solutions.

Timeline

Recent News

January 2026

Two months ago, I started a postdoctoral position at the Catalan Institute of Nanoscience and Nanotechnology (ICN2) in Barcelona, within the Theoretical and Computational Nanoscience group. My research focuses on AI for Science, particularly computational optimization using evolutionary computing techniques.

December 2025

On December 12, I successfully defended my doctoral thesis, Improving Optimization Algorithms via Machine Learning and Visualization Tools, earning the highest distinction: Excellent (Cum Laude). You can read it here.

Ph.D. Defense

November 2025

A Short Bibliometric Review of Metaheuristics

Conference Paper

irace-evo: Automatic Algorithm Configuration Extended With LLM-Based Code Evolution

Preprint

October 2025

Optimizing the Optimizer: An Example Showing the Power of LLM Code Generation

Conference Paper

August 2025

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

May 2025

Architectures of Error: A Philosophical Inquiry into AI and Human Code Generation

Preprint

March 2025

Combinatorial Optimization for All: Using LLMs to Aid Non-Experts in Improving Optimization Algorithms

Preprint

January 2025

Palabras y Algoritmos. ¿Cómo la Inteligencia Artificial transformará la escritura?

New Book

Metaheuristics and Large Language Models Join Forces: Toward an Integrated Optimization Approach

Journal Paper

Publications

Scientific & Philosophical Articles.

(*) First Author

Preprints 03

irace-evo: Automatic Algorithm Configuration Extended With LLM-Based Code Evolution

November 2025 • arXiv

Camilo Chacón Sartori(*), and Christian Blum.

LLM-Based Instance-Driven Heuristic Bias In the Context of a Biased Random Key Genetic Algorithm

August 2025 • SSRN

Camilo Chacón Sartori(*), Martín Isla, Pedro Pinacho, and Christian Blum.

Combinatorial Optimization for All: Using LLMs to Aid Non-Experts in Improving Optimization Algorithms

March 2025 • arXiv

Camilo Chacón Sartori(*), Christian Blum.

Journal Articles 03

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models

2025 • IEEE Access

Camilo Chacón Sartori(*), Christian Blum, Filippo Bistaffa.

Dataset & Code

Metaheuristics and Large Language Models Join Forces: Toward an Integrated Optimization Approach

2025 • IEEE Access

Camilo Chacón Sartori(*), Christian Blum, Filippo Bistaffa, and Guillem Rodríguez Corominas.

Code

STNWeb: A new visualization tool for analyzing optimization algorithms

2023 • Software Impacts

Camilo Chacón Sartori(*), Christian Blum, Gabriela Ochoa.

Code

Conference Articles 08

A Short Bibliometric Review of Metaheuristics

2025 • Sustainable Tech

Mehmet Anıl Akbay, Jaume Reixach, Guillem Rodríguez Corominas, Camilo Chacón Sartori, and Christian Blum.

Optimizing the Optimizer: An Example Showing the Power of LLM Code Generation

2025 • FedCSIS '25 (Core B)

Camilo Chacón Sartori(*), Christian Blum.

An Extension of STNWeb Functionality: On the Use of Hierarchical Agglomerative Clustering

2024 • GECCO '24 (Core A)

Camilo Chacón Sartori(*), Christian Blum, Gabriela Ochoa.

Large Language Models for the Automated Analysis of Optimization Algorithms

2024 • GECCO '24 (Core A)

Camilo Chacón Sartori(*), Christian Blum, Gabriela Ochoa.

STNWeb for the Analysis of Optimization Algorithms: A Short Introduction

2024 • MIC

Camilo Chacón Sartori(*), Christian Blum.

Q-Learning Ant Colony Optimization supported by Deep Learning for Target Set Selection

2023 • GECCO '23 (Core A)

Jairo Enrique Ramírez Sánchez, Camilo Chacón Sartori, Christian Blum.

Search Trajectory Networks Meet the Web: A Web Application for the Visual Comparison of Optimization Algorithms

2023 • ICSCA

Camilo Chacón Sartori(*), Christian Blum, Gabriela Ochoa.

Boosting a Genetic Algorithm with Graph Neural Networks for Multi-Hop Influence Maximization

2022 • FedCSIS (Core B) Best Paper Award

Camilo Chacón Sartori(*), Christian Blum.

Written Work

Books & Monographs

Read Newsletter
Palabras y Algoritmos

Palabras y algoritmos

Spanish Edition

Marcombo • 2025

"Un ensayo que comienza desde la lejana Mesopotamia hasta nuestros días con la inteligencia artificial generativa, para narrar una de las tecnologías humanas más increíble: la escritura. Objetivo: mostrar por qué la escritura es parte inseparable de los que nos hace humanos, y dar pistas de cómo la IA se volverá participe."

Principios de Programación

Principios de programación

Spanish Edition

Marcombo • 2023

"Un libro generalista de informática, que presenta una nueva forma de entender la programación a través de ocho principios. Además de abordar aspectos históricos de la programación. Objetivo: ampliar los horizontes de lo que entendemos por programación."

Mentes Geniales

Mentes geniales

Spanish Edition

Marcombo • 2021

"La vida y obra de 12 grandes informáticos, ganadores del premio Turing. Un libro que recorre la vida de 12 grandes informáticos. Objetivo: inspirar a nueva generación de entusiastas de la informática."

Computación y Programación Funcional

Computación y programación funcional

Spanish Edition

Marcombo • 2021

"Una introducción a la programación funcional desde el cálculo lambda para luego aprender lenguajes de alto nivel como Racket y Python. Objetivo: demostrar los beneficios de la programación funcional sin renunciar a la teoría, y sin caer, en el dogmatismo de «un paradigma es mejor que otro»."

Initiate a Dialogue

I am always interested in discussing new research projects, editorial collaborations, or simply debating the future of AI.

Send Email
Google Scholar ResearchGate Twitter / X LinkedIn GitHub