Irena Gao
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolIrena Gao is an undergraduate at Stanford studying AI and Statistics with plans to begin an ML PhD in 2023/2024, bringing nine years of experience in technology roles prior to graduate research. Based in Palo Alto, she combines strong quantitative training with practical engineering instincts, positioning herself at the intersection of research and applied machine learning. Her trajectory suggests a focus on scalable, data-driven models and statistical rigor, informed by real-world engineering experience. Though early in her formal academic career, she already blends industry practice with research ambition, making her well-suited for translational ML projects that move ideas from prototype to impact.
9 years of coding experience
Stanford University
Github Skills (13)
computer-vision10
benchmark10
flamingo10
machine-learning9
deep-learning9
pytorch9
language-model8
bottleneck6
interpretable-machine-learning6
languagetool5
sanity4
javascript1
react1
Programming languages (4)
Github contributions (5)
i-gao/typeover
Nov 2019 - Mar 2022
react component to memorize text by typing over the text
Contributions:1 PR, 11 pushes, 1 issue in 2 years 4 months
react-componentreactjsreact
i-gao/wilds-active
May 2021 - Mar 2022
A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.
Contributions:448 pushes, 46 branches in 10 months
loadersshiftswildmachine-learningmachine-learning-benchmark
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