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Daniel Severo

Machine Learning Researcher

3778 Healthcare

{first name}souza{last name} at gmail dot com

I'm a Researcher at 3778 Healthcare working with Machine Learning for Healthcare. Previously, I was Head of Data Science at Linx Impulse and a Researcher at the CERTI Foundation where I worked with Signal Processing and Embedded Systems.

I'm interested in learning more about the intersection between Statistical Learning and Deep Learning as well as how Machine Learning can be seen as an Information Theory problem. I'm also interested in their applications to Health and Privacy.

Originally, I am from Florianópolis, Brazil but I've lived in New Jersey, Orlando, Toronto and São Paulo as well as other smaller cities in the south of Brazil. I enjoy reading, playing american football and KSP

Interests

  • Statistical Learning
  • Information Theory
  • Generative Models
  • Privacy in Machine Learning
  • Machine Learning for Healthcare

Education

  • Exchange Program, 2013

    University of Toronto

  • BSc in Electronics Engineering, 2015

    Federal University of Santa Catarina


News

Work

A Report on the Ziggurat Method

Mathematical proof of functionality, of a highly efficient pseudo-random number generator: The Ziggurat Method

Ad hoc Big Data Analysis with Dask

How can we keep the simplicity and power of pandas, while extending it to be out-of-core and parallel?

Open Source Contributions

Dask

Parallel computing with task scheduling

Dask-ML

Scalable Machine Learn with Dask