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Andre Belem

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Hi there 👋

I am an Oceanographer, from the time when the hero was (is) Jacques Cousteau. My graduation focused on Geological Oceanography (B.Sc.) and Biological Oceanography (M.Sc.), both obtained at the Federal University of Rio Grande, RS Brazil in the period 1988-1993 and 1994-1997, respectively. I had the opportunity to delve deep into Polar Oceanography, with my ⚡ first Antarctic cruise in 1994 (and the second in 1995) aboard the polar icebreaker Nathaniel B. Palmer (NBP94-5 and NPB95-5), where I learned about the diversity and beauty of the ice. I followed in the footsteps of my mentor at the time and immersed myself in another fantastic experience: my PhD in Polar Oceanography, at the Alfred-Wegener Institute for Polar and Marine Research, Bremerhaven - Germany, between 1997 and 2002. Back in "Terra Brasilis", I start teaching in the State University of Santa Cruz (Eastern Bahia, Brazil) and just after that, in Santos SP (UNESP, the extinted UNIMONTE, UniSanta and later on Senac Santos), from 2003 to 2011. I got my first post-doc at the Escola de Engenharia de São Carlos (USP) between 2007-2008 in the area of Hydrometry/Hydrology and soon after I fell in love with Paleoceanography in a post-doc at the Geochemistry Department, Universidade Federal Fluminense, between 2011-2015, where I am today professor at 🔭 the School of Engineering, teaching modeling and climate change to engineers, as well as physical oceanography (and general oceanography) to graduate students (see at PPG-DOT).

I’m (and always) learning Python (Yea! It's an infinite learning curve! Just when you think you've learned everything you need for your research, a new package appears that changes everything), and I'm loving it. Additionally, I'm deeply specialized in time series analysis of oceanographic and climatic data, with a focus on low frequencies, as well as in Machine Learning 🤖 and Deep Learning 🧠. And I'm looking for collaboration on the development of analysis tools for paleoceanography and global climate change. 🔭 I’m currently working on building an efficient AI model for identifying climate change denial from social media posts. You can read a few articles in my Medium Account.

📫 How to reach me: pretty simples - my email is [email protected] and you can track me on Linkedin (https://www.linkedin.com/in/andre-l-belem/) and ResearchGate at https://www.researchgate.net/profile/Andre-Belem

Let's talk ?

  • 💬 Ask me about my hobbies: cooking (I'm vegetarian), taking care of plants (I help with a community garden and also take care of a small botanical garden). I'm also into standup paddling 🏄‍♂️, Polynesian canoe, scuba diving, outdoor photography, among other things.
  • ⚡ Fun fact: in 2024 I will complete 30 years of Antarctica! Yes, usually at the end of each year, and on a fairly regular basis, I leave for the frozen continent, do my research, meet new people and "feel at home".

Andre L. Belem's Projects

1o_curso_astoc icon 1o_curso_astoc

Este é o repositório para o curso de Análise de Series Temporais em Oceanografia

curso_basico_geemap icon curso_basico_geemap

This course introduces beginners to Google Earth Engine using Python in Google Colab. Explore remote sensing, process geospatial data, create dynamic visualizations, and understand drought indices. Develop skills for environmental monitoring and decision-making without needing local installations.

leia icon leia

LeIA (Léxico para Inferência Adaptada) é um fork do léxico e ferramenta para análise de sentimentos VADER (Valence Aware Dictionary and sEntiment Reasoner) adaptado para textos em português.

pygmt icon pygmt

A Python interface for the Generic Mapping Tools.

pymhw icon pymhw

Small scripts to calculate statistics of Marine Heat Haves

sidrapy icon sidrapy

A library that provides a python interface for the IBGE SIDRA API.

try-gmt icon try-gmt

Try GMT, PyGMT, and GMT.jl online! All in one place!

waipy icon waipy

This guide includes a Continuous Wavelet Transform (CWT), significance tests from based on Torrence and Compo (1998) and Cross Wavelet Analysis (CWA) based on Maraun and Kurths(2004).

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