Cristobal聽Eyzaguirre
Doctoral Student at Stanford University
Palo Alto, California, United States
Summary
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Top SchoolCristobal Eyzaguirre is a doctoral student in AI at Stanford with nine years of research experience focused on machine reasoning, meta-learning, and adaptive computation time models. He has interned on cutting-edge multimodal and video understanding projects at Meta, Toyota Research Institute (work that contributed to an ICML 2025 paper), and Google, and previously worked as an AI researcher at IALab PUC. Cristobal blends rigorous academic training (MS and CS degrees from Pontificia Universidad Cat贸lica de Chile) with practical, cross-domain experience鈥攔anging from industry research to a brief stint in construction to ground his understanding of real-world worker needs. Based in Palo Alto, he pairs a passion for outdoor endurance sports with a talent for turning complex video and multimodal challenges into publishable research and applied solutions.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Master of Science - MS at Pontificia Universidad Cat贸lica de ChileDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Stanford University
English, Spanish
Stackoverflow
16reputation
3kreached
2answers
1question
Github Skills (61)
lightning10
pytorch10
artificial-intelligence10
python10
multimodal-deep-learning10
lifecycle10
vision-framework10
machine-learning10
scaling10
vision-and-language10
deep-learning10
cost-management10
ai10
data-science9
salesforce9
Programming languages (4)
Github contributions (5)
ialab-puc/ialab.ing.puc.cl
Aug 2018 - Apr 2021
Web site of the Artificial Intelligence Laboratory at PUC CHile
Contributions:36 commits, 17 PRs, 23 pushes in 2 years 8 months
web-sitelaboratoryartificialmachine-learningpuc
ceyzaguirre4/DACT-MAC
Apr 2020 - Aug 2020
Repository for hosting the code for the CVPR 2020 paper Differentiable Adaptive Computation Time for Visual Reasoning.
Contributions:7 commits, 2 PRs, 3 pushes in 3 months
pytorchcomputationdifferentiablehostingadaptive
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