About me
Hey! I’m Leo. I hold a Diplôme d’Ingénieur (Master of Science) from École Centrale de Lyon. I’m also a Mechanical Engineer alumni from the State University of Campinas (UNICAMP) and currently work as a machine learning engineer while doing research in my free time.
During my time in France, I worked at Amazon and interned at BNP Paribas’s Data & Analytics team. In my senior year, I received a São Paulo Research Foundation fellowship to conduct research at CRUNCH Group at Brown University.
I possess a strong curiosity and a commitment to investigating novel scientific frontiers at the intersection of Engineering and Applied Mathematics. I have previously worked with Deep Learning and its capabilities in modeling physical systems using techniques such as Operator Learning and Optimal Transport. I have considerable experience developing Deep Learning frameworks and pipelines.
Contact
Feel free to reach out to me at leonardo [dot] santiago [at] etu [dot] ec-lyon [dot] fr, at l201292 [at] dac [dot] unicamp [dot] br or even at lsantia3 [at] ncsu [dot] edu.
News
- 2026.04: Our paper Learning to Emulate Chaos: Adversarial Optimal Transport Regularization was accepted to ICML 2026!
- 2025.11: I recently presented my work DeepONet Surrogate Modeling for Continuum Mechanics in Unbounded Domains: Bypassing BEM Scalability via Operator Learning at the XLVI Ibero-Latin American Congress on Computational Methods in Engineering