I have Bachelor’s Degree in Computer Science (Unesp’13, Brazil),
M.Sc. (USP’15, Brazil) and Ph.D. (USP’19, Brazil) in Electrical
Engineering and from 2019 to 2022 was a Postdoctoral Fellow at the
University of Calgary in Canada. Currently, I’m teaching courses in the
Software Development Diploma at SAIT.
My background is in medical imaging (mammography and digital
breast tomosynthesis), machine learning and computer vision. My work
with mammography aimed to detect “architectural distortion of the
breast”, a very sublet sign of what could become breast cancer. I also
worked with denoising filters (BM3D, NLM, Wavelet-based) to remove
spared noise when the mammography is acquired with a low radiation dose.
During my postdoc, I worked mostly with probabilistic graphical models
(Bayesian networks and Structural Equation Modelling) and time
series.
For an up-to-date list of publications, please refer to my Google
Scholar. If you want to see some of the projects I worked on, check
the link to the Projects at the top of this page.
> RetroLab: a hobbyist’s
webpage on classic systems, low-level programming, algorithms, malware
analysis, and other cool tech projects.
> Info6 project: hands-on
tutorials on statistical data analysis.
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