My research lies at the intersection between machine learning and control theory, where I try to quantify the uncertainty associated with models and establish safety guarantees for feedback loops that contain learned systems/controllers.

Recently I was working on establishing deterministic error bounds for non-parametric kernel models, and on learning explicit MPC controllers with a neural network whose activation function is a parametric quadratic program.

From the practical side, I like to experiment with power electronics systems and, more recently, heating ventilation and air conditioning plants for office buildings. Further information about my work can be found on my Google Scholar page.

I received my bachelor's degree in Electrical Engineering from Universidade Federal de Mato Grosso do Sul (UFMS) in 2016, and my master's degree in Systems and Control from Instituto Tecnológico de Aeronáutica (ITA) in 2018, both in Brazil. I was also a visiting student at Politecnico di Torino (Polito), Italy, in the master's program in Embedded Systems. I am currently a PhD student at EPFL under the supervision of professor Colin Jones.

If you are a master's student looking for a semester/master's project, you might want to have a look at this page. We are currently offering projects in the area of Model Predictive Control and its applications to buildings and power converters. Depending on your profile and interests, we can also work on more theoretical investigations. Do not hesitate to contact me.