Miguel Raggi
Associate Professor
Morelia, Michoacán, Mexico
Summary
👤
Senior🎓
Top SchoolMiguel Raggi is an associate professor and mathematician-computer scientist with 11 years of experience bridging rigorous discrete mathematics and practical software development. He holds a PhD in Mathematics from UBC and applies deep expertise in algorithms, discrete optimization, and C++ programming to research and teaching at UNAM. Currently focused on deep learning, he blends theoretical foundations with modern AI/ML interests, including game theory and software engineering. Miguel is known for strong problem-solving across abstract and applied domains, able to translate combinatorial insights into implementable systems. Based in Morelia, Mexico, he brings an uncommon mix of academic depth and hands-on coding fluency that informs both student mentorship and research-driven projects.
10 years of coding experience
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Universidad Michoacana de San Nicolás de HidalgoDoctor of Philosophy (PhD), Mathematics, PhD, Doctor of Philosophy (PhD), Mathematics, PhD at The University of British Columbia
English, Spanish
Stackoverflow
205reputation
6kreached
2answers
5questions
Github Skills (62)
pytorch10
permutation10
combinatorics10
partition10
discriminated-unions10
constexpr10
fastai10
partitions10
combinations10
python9
machine-learning9
visualizer9
gpu9
metaprogramming9
deep-learning9
Programming languages (4)
Github contributions (5)
mraggi/NeuralSensei
Jan 2019 - Nov 2019
For my neural networks class at ENES, Morelia. Partly based on courses.fast.ai
Contributions:29 commits, 1 PR, 25 pushes in 9 months
pythondeep-learningconvolutional-neural-networkneural-networksmachine-learning
OlimpiadaMatematicasMichoacan/WOMM
Jan 2023 - Mar 2025
Website de las Olimpiadas Michoacanas de Matemáticas
Contributions:3 PRs, 80 pushes in 2 years 2 months
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