Jordi Silvestre-ryan
Senior Machine Learning Scientist at insitro
San Francisco Bay Area United States
Summary
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Senior🎓
Top SchoolJordi Silvestre-ryan is a Senior Machine Learning Scientist with nine years of experience applying deep learning to biological problems, currently building ML-driven drug discovery tools at insitro. A UC Berkeley–UCSF PhD candidate in Bioengineering, he developed computational methods that halved nanopore sequencing error by combining complementary reads—an approach adopted in Oxford Nanopore’s basecaller. Jordi has transitioned his academic expertise in stochastic gene-regulatory modeling and biophysical ensemble fitting into industry roles at Atomwise/Numerion Labs, designing benchmarks and models to screen ultra-large chemical libraries. Based in the Bay Area, he blends rigorous probabilistic modeling with practical productionization of ML for biology, and has a track record of turning noisy experimental data into deployable algorithms.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Bioengineering, Doctor of Philosophy (PhD), Bioengineering at University of California, BerkeleyMaster of Science (MS), Biophysics, Master of Science (MS), Biophysics at University of California, San Francisco
English, Catalan, Spanish
Github Skills (5)
vector-graphics9
protein-structure8
consensus7
flip-flop6
flip4
Programming languages (3)
Github contributions (5)
jordisr/poreover
Jun 2017 - Jul 2022
Nanopore basecalling and consensus decoding
Contributions:1 release, 270 commits, 29 PRs in 5 years 2 months
consensus
jordisr/cellscape
Apr 2017 - Jun 2022
Vector graphics cartoons from protein structure
Contributions:132 commits, 8 PRs, 107 pushes in 5 years 2 months
protein-structurevector-graphics
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