Daniele Silvestro
Computational Biologist
Switzerland
Summary
👤
Senior🎓
Top SchoolDaniele Silvestro is a computational biologist with 12 years of experience applying Bayesian modeling, machine learning, and mathematical modeling to evolutionary and conservation biology. He holds a PhD summa cum laude from Goethe University and combines a strong academic track record with roles across European research institutions and industry, including ETH Zürich, University of Gothenburg, and as co-founder of CAPTAIN Technologies. Proficient in Python and R, he develops open-source Bayesian tools (see github.com/dsilvestro) that bridge cutting-edge inference methods and practical ecological applications. His work is supported by competitive grants (SNSF Eccellenza) and a steady publication record, reflecting both theoretical depth and field-relevant impact. Based in Switzerland, he brings an unusual mix of entrepreneurial drive and rigorous computational science to problems in biodiversity and evolutionary inference.
11 years of coding experience
4 years of employment as a software developer
Master of Science (MSc), Natural Sciences, Evolutionary Biology, summa cum laude, honorific mention, press dignity, Master of Science (MSc), Natural Sciences, Evolutionary Biology, summa cum laude, honorific mention, press dignity at Università degli Studi di Torino / University of TurinDoctor of Philosophy (PhD), Natural Sciences, Biology, Summa cum Laude, Doctor of Philosophy (PhD), Natural Sciences, Biology, Summa cum Laude at Johann Wolfgang Goethe-Universität Frankfurt am Main
Github Skills (43)
ecology10
proximity10
taxonomy10
python10
decomposition10
data-storage10
fossil10
bayesian10
meta-analysis10
estimate10
rates10
evolution10
phylogenetics10
biodiversity10
phylogeny10
Programming languages (6)
Github contributions (5)
dsilvestro/npBNN
Apr 2020 - Dec 2022
Bayesian neural networks using Numpy and Scipy
Contributions:10 releases, 148 commits, 3 PRs in 2 years 8 months
pythonnumpystatistical-learningbayesian-inferenceneural-networks
dsilvestro/fossilBM
Aug 2015 - Jan 2023
Bayesian inference of trait evolution under a “fossilized” Brownian motion.
Contributions:1 release, 85 commits, 5 PRs in 7 years 6 months
phylogenyevolutiontraitbayesian-inferencebrownian-motion
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