Gonzalo Mena
Assistant Professor at Carnegie Mellon University - Statistics & Data Science
Pittsburgh, Pennsylvania, United States
Summary
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Senior🎓
Top SchoolGonzalo Mena is an assistant professor and statistical machine learning researcher with 11 years of experience spanning academia and industry, currently at Carnegie Mellon after fellowships at Oxford and Harvard. He holds a PhD in Statistics from Columbia and blends deep theoretical work with applied projects—from developing algorithms for closed-loop neural experiments with potential retinal prosthesis applications to novel neural architectures for combinatorial matching explored during a Google Brain visit. Gonzalo’s background bridges mathematics, neuroscience, and AI, enabling him to translate complex probabilistic models into practical experimental tools. He is equally comfortable mentoring students and collaborating with top-tier labs, and his career highlights reflect a rare mix of foundational research and translational impact.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.), Mathematics /engineering, Bachelor of Science (B.S.), Mathematics /engineering at Universidad de ChileMaster of Arts (M.A.), Statistics, Master of Arts (M.A.), Statistics at Columbia University in the City of New York
Spanish, English
Github Skills (14)
que9
ministry8
health8
identifier7
bioinformatics6
genomics6
science6
machine-learning5
data-science4
spike3
react3
nextjs2
artifact2
cancellation1
Programming languages (3)
Github contributions (5)
EmiliaPompe/discussion_unified_framework
May 2020 - May 2020
Contributions:16 commits, 16 pushes in 1 day
gomena/Underreportingcovid
May 2020 - Sep 2020
Contributions:33 pushes, 1 branch in 4 months
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