Summary
Leonardo Martins is a Senior Staff Research Scientist with nine years of experience developing mathematical optimization and statistical methods for energy, geoscience, and large-scale dynamical systems. He has a PhD in Electrical and Electronics Engineering and a proven track record at IBM and Equilibrium Energy designing convex and semidefinite relaxations, physics-informed surrogates, and predictive models for hydrology, power systems, and subsurface characterization. His work spans theory and practice—from primal-dual interior-point solvers and Tikhonov regularization for nonlinear operators to applied electricity demand and sustainability modeling—resulting in publications including an ICML-featured contribution. Based in São Paulo, he brings deep expertise translating complex physical constraints into scalable ML and optimization pipelines for industrial clients. Less obvious: he repeatedly bridges disciplines by combining signal/image processing, optimization theory, and domain physics to produce robust, interpretable models that operate under real-world constraints.
9 years of coding experience
13 years of employment as a software developer
Master of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at Universidade Federal de Goiás
Doctor of Philosophy - PhD Electrical and Electronics Engineering, Doctor of Philosophy - PhD Electrical and Electronics Engineering at Universidade Estadual de Campinas
Portuguese, English, Spanish