Matheus Viana
Associate Director Of Image Analysis And Descriptive Modeling
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolMatheus Viana is an image analysis and descriptive modeling leader with over a decade of experience translating quantitative imaging and computational physics into biological insight. Currently Associate Director of Image Analysis and Descriptive Modeling at the Allen Institute for Cell Science, he advanced through scientific roles there after postdoctoral and research positions in Brazil and at UC Irvine. His background in computational physics (PhD, Universidade de São Paulo) underpins a rigorous, model-driven approach to complex image-based data and descriptive modeling. He combines hands-on algorithm development with team leadership to operationalize analysis pipelines for high-content cellular imaging. Based in Seattle, he brings cross-cultural research experience and industry–academia fluency from IBM Research to institute-scale science. Colleagues rely on him for turning intricate quantitative problems into reproducible, production-ready analysis.
12 years of coding experience
7 years of employment as a software developer
Bachelor's degree Physics, Bachelor's degree Physics at UFSCar - AlumniDoctor of Philosophy (PhD) Computational Physics, Doctor of Philosophy (PhD) Computational Physics at USP - Universidade de São Paulo
English, Portuguese
Github Skills (93)
python10
bash10
deep-learning10
mnist10
training-data10
variance10
jupyter-widget10
data-science10
topography10
tensorflow10
pytorch10
machine-learning10
simulations9
jax9
image-viewer9
Programming languages (5)
Github contributions (5)
AllenCell/aics-cytoparam
Feb 2021 - Nov 2022
Contributions:1 release, 2 reviews, 55 commits in 1 year 9 months
AllenCell/cvapipe_analysis
Feb 2021 - Jan 2023
Analysis of data produced by cvapipe for the variance paper
Contributions:28 reviews, 416 commits, 66 PRs in 2 years
machine-learningvariance
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