Machine learning PhD focused on probabilistic generative models with emphasis on tractability.

Data scientist at Itaú's personal credit department focused on the pricing of installment credit.

Machine learning specialist in Accenture's innovation team.

Research in machine learning focused on deep learning, reinforcement learning and risk analysis.

Development of high level system requirements for hardware and software integration within the operating system which controls aero-engines (FADEC). The internship was marked by a very multidisciplinary approach and contributions to several projects at different stages of development, hence providing a broad understanding of the system.

Study of time and structure in relative music similarity using the normalized compression distance.- Development of a MatLab tool based on Support Vector Machines (SVM) to predict music similarity data based on inputs from users;- Nominated for best research project at ENSTA in 2015;

Undergraduate research project conducted during the second and third years of the engineering course at Escola Politécnica da USP. Research scholarship granted by the São Paulo Research Foundation (FAPESP).