Gustavo Navarro

Mathematician · Physicist · Software · Founder, Divergent Physics

Gustavo Navarro

I'm a mathematician working in software and applied physics. I founded Divergent Physics (formerly Divergence AI), where we're building an AI-powered automation layer for Ansys HFSS — letting RF and antenna engineering teams go from CAD to validated electromagnetic simulation results in minutes instead of days, without leaving the tools they already use.

Before this I led software at Reach Labs and worked on health and AI systems at Aavia. My PhD (UC Davis, 2016) was on the two-phase Stefan problem — a free-boundary model for things like ice melting in water. I still get pulled toward anything that can be turned into a sharp mathematical question.

What I'm building

Side projects

Background

Ph.D. Mathematics, 2016

University of California, Davis. Advisor: Steve Shkoller. Thesis: Local and Global well-posedness of the Two-phase Stefan problem.

BS Physics, 2008

Physics department, Universidad de Chile.

BS Mathematics, 2008

Mathematics department, Universidad de Chile.

Mathematical Civil Engineering, 2009

Universidad de Chile. Advisor: Juan Diego Davila. Undergraduate thesis: Singular Limits in Liouville-type equations with exponential Neumann data.

Publications

Hadzic, Navarro, Shkoller

Local well-posedness and Global stability of the Two-phase Stefan problem. SIAM J. Math. Anal., 49(6), 4942–5006.

Granero-Belinchon, Navarro, Ortega

On the effect of boundaries in the two-phase porous flow. Nonlinearity 28 (2015) 435–461.

Get in touch

Open to collaboration, advising, and interesting problems.