System Development Projects
COVID-19 Curve Prediction
Contributed to the project
"Genetic Algorithms and Moving Averages for Predicting SARS-CoV-2 Infection Curves"
during the COVID-19 pandemic. Our predictions for
infection and mortality rates were featured in local
news outlets. Primarily responsible for front-end
development, creating an intuitive and user-friendly
interface to visualize and communicate the
data-driven predictions effectively.
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Acervo IPeC
Fully developed a web application in
PHP for cataloging and
managing the biological collection of the Cananeia
Research
Institute (IPeC). This project involved designing
and
implementing a user-friendly platform to streamline
the
organization and accessibility of the institute's
biological
data. Successfully registered the application with
the
Brazilian National Institute of Industrial Property
(INPI)
under registration number BR512020001176-4.
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Scientific Publications
Mobile Health Adoption in High-Risk Pregnancies
Using Cluster Analysis of Biopsychosocial Outcomes:
Observational Longitudinal Cohort Study
JMIR Human Factors | 2025
See publication
Development and evaluation of an application for
self-awareness and public health prevention
Acervo Saúde | 2025
See publication
Impact of app use on adherence and persistence to
the treatment of female urinary incontinence:
randomized longitudinal study
Fisioterapia Brasil | 2022
See publication
Microbiome and oral squamous cell carcinoma: a
possible interplay on iron metabolism and its impact
on tumor microenvironment
Brazilian Journal of Microbiology |
2021
See publication