About
Postdoctoral researcher at the Colorado School of Mines, working in the Toberer Group at the intersection of ML/AI, molecular simulation, and experimental characterization.
I aim to enable data-driven approaches, informed by multi-fidelity data, to build structure–property relationships, guide experimental efforts, and ultimately accelerate the materials design cycle.
I earned a PhD in Materials Science from Mines in 2025 under the guidance of Diego Gómez-Gualdrón, where I developed computational workflows to accelerate the discovery of new materials for energy-related applications.
Previously, I received a PhD in (Chemical) Engineering from Universidad de los Andes in Colombia, where I worked with Oscar Alvarez and Diego Pradilla on the experimental characterization of interfacial phenomena.
Mines · Toberer Group
AI/ML for materials discovery and agentic orchestration for materials design.
Computational & Experimental
Molecular simulation, ML modeling, and interfacial characterization.
AI-driven discovery
Data-efficient learning for materials where data is scarce or costly.
Guided experimentation
AI tools that unlock data-driven experimentation for energy & sustainability.