I am a Ph.D. Candidate in Engineering at Universidad de los Andes, Colombia, specializing in multi-agent AI systems and cooperative resilience. My research investigates how groups of artificial agents—and, more recently, humans and LLM-based agents—maintain collective welfare under disruptions. I study how incentives, reward learning, communication, and local interaction rules can support sustained cooperation in mixed-motive environments. I began my Ph.D. in 2023 with support from the competitive Google DeepMind–CinfonIA Scholarship. My interdisciplinary background includes an M.Sc. in Applied Mathematics and a B.Sc. in Electronic Engineering, which provide the mathematical, computational, and systems foundations for my current research.
Ph.D. in Engineering
Universidad de los Andes, Colombia
M.Sc. in Applied Mathematics
Universidad Nacional de Colombia
B.Sc. in Electronic Engineering
Universidad de Nariño
My research focuses on understanding and designing resilient multi-agent systems, particularly mixed-motive settings such as social dilemmas. I use inverse reinforcement learning (IRL)—with an emphasis on preference-based reward inference—to reveal latent social objectives and leverage the notion of cooperative resilience to guide reward learning that sustains collaboration under disruption (e.g., resource scarcity, failures, and strategic/adversarial behavior). The goal is to develop agents that adapt, maintain performance and fairness, and thrive despite shocks and non-stationarity—ultimately aligning individual incentives with collective well-being and long-term stability.
Please reach out to collaborate 😃
In this talk, I presented our pilot study comparing cooperative resilience in human groups and LLM-based multi-agent systems under disruptions.
En esta charla se introduce un metodo para reducir el sobreajuste en redes neuronales usando una regularización adaptativa basada en cotas de Lipschitz (LBA).
En esta charla hablaremos sobre mi investigación actual en sistemas multiagente de intereses mixtos y la experiencia en el camino del doctorado.
A reflection on my research stay at the University of Utah, where I worked on preference learning in multi-agent reinforcement learning and experienced academic and cultural life …
A personal reflection on attending NeurIPS 2025, highlighting the scientific environment and the human experience of a big AI conference.
A selection of foundational and recent papers that have shaped how I think about cooperation, mixed-motive environments, reward learning, LLM-based agents, and resilience in …
