Hello, I’m Saulo!
-
🤓 My name is
Saulo Gil; -
👨🔬 I’m a
Phdin Science from theUniversity of São Paulo; -
👨💻 I’m master degree student in
Information EngineeringatFederal University of ABC (UFABC)(in progress - start: 2025); -
👨💻 I have graduated in
Systems Analysis and DevelopmentandPhysical Education; -
👨🔬 I’m currently a
researcheratHCFMUSP; -
👨🏫 I’m an
associate professorat Physical Education Department and Master’s Degree course in Health Science at Universidade Santo Amaro (UNISA); -
👨💻📖 I love data science and I’m focused on learning everything related to Machine learning;
INTERESTS
I’m focused on my data scientist career and, thus I’m working to improve my hard skills related to machine learning, especially deep learning.
Also, I’m a researcher in the Applied Physiology & Nutrition Research Group from the University of Sao Paulo - Sao Paulo / Brazil in which I have investigated the skeletal muscle role in general health status and interventions to counteract muscle atrophy in catabolic conditions (e.g., bed-rest, obesity, so on).
Blog Posts
Law of Large Numbers
My Portfolio
Deep Learning - A simple CNN to predict Handwritten Digits
This project consists of implementing a Deep Learning algorithm to detect handwritten digits.
Read moreTalks that Last
G1 news and interview about our research study showing that long COVID is related to physical inactivity. (in Portuguese)
COVID-19 pandemic is raising a devastating impact on public health, resulting in millions of hospitalizations and deaths globally. Among survivors, the high occurrence of patients reporting post-acute sequelae of SARS-CoV-2 (PASC) is a great cause of concern, as it threatens health systems worldwide. Our main findings suggest that PASC is associated with physical inactivity, which itself may be considered as a persistent symptom among COVID-19 survivors. This may help in the early identifcation of patients who could beneft from additional interventions tailored to combat inactivity (even after treatment of PASC), with potential benefcial impacts on overallmorbidity/mortality and health systems worldwide..
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