I believe in science as a tool for deep understanding of the world, in the transparency of open method, and in the transformative potential of the intersection between disciplines.
On Research
Scientific research must be open, reproducible and accessible. Knowledge generated with public resources must return to society in forms that are comprehensible and useful. Computational simulation is an extension of the traditional scientific method: code is the new laboratory instrument.
On Physics
Physics is the language with which nature describes its fundamental laws. From the atomic to the cosmological scale, the same mathematical principles govern seemingly disparate phenomena. My work seeks to connect these scales: understanding how macroscopic properties emerge from atomic interactions.
On Quantum Computing
Quantum computing is not just a promising technology: it is a new way of thinking about information and nature. Quantum algorithms force us to reformulate classical problems from first principles. My interest lies in applying these ideas to concrete problems in chemistry and materials science.
On Machine Learning
Machine learning is revolutionizing computational science. ML-based interatomic potentials promise DFT accuracy at classical force field cost. But beyond applications, ML raises profound questions about what it means to "learn" patterns from scientific data.
On Teaching
Teaching is the most effective way to learn. The teaching materials I share on this site are the result of my own training and experience as a teaching assistant at PUC Chile. I believe in education as a public good and in open source as a teaching philosophy.
On Chile
I am Chilean and I believe in the scientific potential of this country. Training advanced human capital is the most important investment a nation can make. My work is also a contribution to the Chilean scientific ecosystem: training students, collaborating with local colleagues, participating in the community.
Principles
- Rigor: Precision in method is non-negotiable.
- Transparency: Open code, available data, reproducible methods.
- Curiosity: The best research comes from genuine questions.
- Collaboration: Science is a collective effort.
- Patience: Important problems take time.
This manifesto evolves with my thinking. Last updated: March 2026.