Russell Howes
Research Engineer, FAIR at Meta
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolRussell Howes is a research engineer at Meta FAIR with seven years of experience applying advanced math and machine learning to real-world problems, previously contributing to Google's engineering teams and Meta’s AI Red Team on adversarial robustness. He holds a PhD in Mathematics from UCLA and a BS from BYU, bringing deep theoretical rigor to systems and model-level research. Based in Seattle, he focuses on healthcare tech and AI for basic science and prefers not to engage on ad tech or finance projects. Colleagues know him for blending research-grade thinking with production engineering, and for an unexpected streak of creativity—he’s a Lemon Bar Bake-off Champion who still writes code.
7 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Mathematics, Doctor of Philosophy (PhD), Mathematics at University of California, Los AngelesBS, Mathematics, BS, Mathematics at Brigham Young University
Spanish, Portuguese
Github Skills (14)
dialog10
image-text9
audio9
multimodal8
facebook8
modular7
pytorch7
deep-learning7
computer-vision6
machine-learning6
code-generation6
programming-language4
triton4
compiler3
Programming languages (2)
Github contributions (5)
russellhowes/mmf
Dec 2021 - Feb 2022
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
Contributions:12 pushes, 1 branch in 2 months
modular-frameworkfairness-mlvisionvision-languagedeep-learning
facebookresearch/AugLy
Jul 2021 - Jul 2021
A data augmentations library for audio, image, text, and video.
Contributions:3 reviews, 2 comments in 1 day
image-textdeep-learningmachine-learningaudiovideo
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