Education

  1. Ph.D. Mathematical Statistics

    University of Maryland
    Dissertation on Innovations In Time Series Forecasting: New Validation Procedures to Improve Forecasting Accuracy and A Novel Machine Learning Strategy for Model Selection. Supervised by Prof. Dr. Benjamin Kedem.
    Read dissertation

  2. MA Economics

    Universidade de Brasilia, Brazil
    Thesis on Impacts of the Brazilian science and technology sector funds on industrial firms’ R&D inputs and outputs: new perspectives using a dose-response function. Supervised by Prof. Dr. Donald Pianto. Won the brazilian Premio CNI de Economia in 2012.
    Read thesis

  3. BSc Statistics

    Universidade de Brasilia, Brazil
Awards and Certifications
Herbert A. Hauptman Fellowship
University of Maryland - Department of Mathematics ∙ December 2021
The fellowship program was created with an estate gift from Carol Fullerton that honors the memory of her late father, Nobel laureate Herbert A. Hauptman (Ph.D. ’55, mathematics), and launched in 2020.
CNI National Economy Award (Prêmio CNI de Economia)
Brazilian National Confederation of Industry (CNI) ∙ December 2012
2nd best paper in the category Evaluation of Productivity and Innovation in the Brazilian Industry. Issued by the Brazilian National Confederation of Industry with the support from the Brazilian Association of Graduate Centers in Economics. Award granted to the paper: ‘‘Impacts of the Brazilian Sector Funds on industrial firms’ R&D inputs and outputs: New perspectives using a dose-response function’’ (original title: Impactos dos Fundos Setoriais nas Empresas: Novas Perspectivas a partir da Função Dose-Resposta). Click here for the full paper in English.
Project Management with Monday.com
LinkedIn ∙ June 2023
I learned how to create boards, add tasks, items, and columns, and invite team members to collaborate effectively. Understood how to manage day-to-day tasks, add updates, and maintain boards by copying, renaming, or deleting them. Discovered how to create folders, additional workspaces, and automations to streamline workflows and increase efficiency.
Neural Networks and Deep Learning
Coursera ∙ July 2019
I studied the foundational concept of neural networks and deep learning. By the end, I was familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications. Certificate here.
Game Theory
Coursera ∙ May 2012
Completed an in-depth Stanford University course on Game Theory, exploring strategic interactions across varied contexts such as political campaigns and market behaviors. The course involved weekly problem sets, online labs, and a final exam, emphasizing practical applications of game theory through mathematical models. This rigorous coursework honed analytical skills, enhancing abilities in strategic decision-making and predictive analysis.
Model Thinking
Coursera ∙ April 2012
Participated in an advanced course focused on using diverse models to understand complex global phenomena such as political uprisings and market crashes. The course emphasized the strategic application of these models across various fields, including economics, political science, and business, enhancing decision-making and forecasting abilities. Engaged deeply with the material through technical details and algebraic formulations, culminating in successful completion of quizzes and a final exam to earn a Course Certificate. This experience has significantly sharpened my analytical and strategic thinking skills, applicable both academically and in practical scenarios.
Project Management with Monday.com
LinkedIn ∙ June 2023
I learned how to create boards, add tasks, items, and columns, and invite team members to collaborate effectively. Understood how to manage day-to-day tasks, add updates, and maintain boards by copying, renaming, or deleting them. Discovered how to create folders, additional workspaces, and automations to streamline workflows and increase efficiency.
Neural Networks and Deep Learning
Coursera ∙ July 2019
I studied the foundational concept of neural networks and deep learning. By the end, I was familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications. Certificate here.