Pablo Cordero
Staff Data Scientist
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolPablo Cordero is a Staff Data Scientist based in Palo Alto with 12 years of experience combining quantitative modeling, genomics, and natural language processing to extract ground truth from noisy, multi-modal data. After a PhD in Biomedical Informatics at Stanford Medicine, he progressed from academic research and postdoc work to computational biology roles and product-focused data science at Hexagon Bio and Stripe, where he now operates at staff level. He excels at bridging deep domain knowledge in genomics with production ML and causal-minded analysis, often tackling problems that require custom modeling of unstructured biological and text data. Known for a playful yet rigorous approach—“fighting dragons to get to ground truth”—he thrives on hard interdisciplinary problems and translating them into reproducible, impactful solutions. Based in the Bay Area, he brings both academic depth and startup/product experience to teams shipping reliable, science-driven analytics.
12 years of coding experience
12 years of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)Doctor of Philosophy (Ph.D.) Biomedical Informatics, Doctor of Philosophy (Ph.D.) Biomedical Informatics at Stanford University School of Medicine
spanish, english
Github Skills (74)
morphing10
sklearn-pandas9
bayesian9
rna-seq8
bayesian-methods8
statistical-inference8
read-write8
bioinformatics8
probabilistic-graphical-models8
probabilistic-models8
sklearn7
bayesian-inference7
bayesian-statistics7
probabilistic-programming6
python6
Programming languages (4)
Github contributions (5)
dimenwarper/awesome-bayes
Jun 2019 - Jun 2019
List of resources for bayesian inference
Contributions:20 commits, 2 PRs, 19 pushes in 13 days
bayesian-inferenceinferencestatistical-inferencebayesian-statisticsprobabilistic-programming
dimenwarper/hyperparameter.space
May 2017 - Oct 2022
Contributions:57 commits, 48 pushes, 1 branch in 5 years 6 months
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