Diogo Quirino
PhD Candidate In Physics And Astrophysics
Lisbon, Portugal
Summary
👤
Senior🎓
Top SchoolDiogo Quirino is a PhD candidate in Physics and Astrophysics based in Lisbon with 15 years of scientific experience and a strong background in geophysical sciences applied to planetary atmospheres. He specializes in modeling the upper atmosphere of Venus and Venus-like exoplanets using LMD’s Venus GCM and Generic-GCM, having improved non-LTE parameterizations and validated model outputs against ESA’s Venus Express data. His work blends rigorous data analysis, Python tooling for model output extraction, and dynamical studies of wind fields in regions where direct measurements are impossible. With top marks in his MSc and bachelor’s programs and an unusual early training in physiotherapy, he brings interdisciplinary curiosity and practical problem-solving to planetary science and exoclimatology.
15 years of coding experience
Master's degree, Physiotherapy, Master's degree, Physiotherapy at Escola Superior de Tecnologia da Saúde de LisboaDoctor of Philosophy - PhD in Physics and Astrophysics, Astrophysics and Planetary Science, Doctor of Philosophy - PhD in Physics and Astrophysics, Astrophysics and Planetary Science at Faculdade de Ciências da Universidade de LisboaErasmus Programme, Physiotherapy, Erasmus Programme, Physiotherapy at Universidad de Las Palmas de Gran CanariaIntegrated Programme, Physiotherapy, Integrated Programme, Physiotherapy at Tartu Ülikool
English, Portuguese, French, Spanish
Github Skills (22)
pytorch10
python10
java-bytecode10
java10
fastai10
gpu10
jvm9
search-engine9
subclipse9
machine-learning9
golang9
deep-learning9
openjdk9
nbdev9
elasticsearch9
Programming languages (3)
Github contributions (5)
suresk/jacobin
Mar 2022 - May 2023
A more than minimal JVM written in Go and capable of running Java 11 classes.
Contributions:34 pushes, 16 branches in 1 year 1 month
golangjavajvmjava-11
suresk/fastai
Sep 2020 - Dec 2020
The fastai deep learning library, plus lessons and tutorials
Contributions:3 pushes, 2 branches in 2 months
pytorchdeep-learningmachine-learningdeep-learning-libraryfastai
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