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Universidade de São Paulo (USP). Instituto de Matemática e Estatística (IME) (Institutional affiliation from the last research proposal) Birthplace: Brazil
I earned a BS in Statistics and a PhD in Applied Mathematics from the University of São Paulo, Brazil. My research interests in data science are at the intersection of probability theory, statistics, applied mathematics and computer science. In particular, I am interested in developing learning methods with a strong mathematical basis which do not only have a high performance, but are controllable and interpretable, with applications to scientific problems, and signal and image processing. I am currently working on operator learning based on mathematical morphology and physics-informed neural networks for solving forward and inverse problems. I am a research fellow at the Mathematical Data Science Centre, Mathematical Sciences Institute, The Australian National University. Previously, I was a postdoc at the Computer Science Department, Institute of Mathematics and Statistics, University of São Paulo (2022-2024), and a visiting postdoctoral scholar at the Department of Electrical and Computer Engineering, Texas AM University (2023-2024). (Source: Lattes Curriculum)
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The classical framework of Machine Learning is composed by a hypotheses space $\mathcal{H}$, a sample $\mathcal{D}_{N}$ and an algorithm $\mathbb{A}$, which processes $\mathcal{D}_{N}$ and returns $\hat{h}(\mathbb{A}) = \mathbb{A}(\mathcal{H},\mathcal{D}_{N})$ in $\mathcal{H}$, seeking to approximate a target hypothesis $h^{\star} \in \mathcal{H}$. In a previous study, it was proposed a n…
Although modern machine learning methods, such as neural networks (NN), have brought countless benefits in the last years, the indiscriminate use of machine learning has risen issues which are often related to lack of auditability and interpretability. A lot of research effort has been put into attaining interpretability, and a growing field of research which is highly dependent on interp…
| 1 / 1 | Completed scholarships in Brazil |
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