Michael Auli
Advisor at Ello
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolMichael Auli is an AI researcher and advisor with over a decade of experience translating cutting-edge research into widely adopted systems, including co-inventing convolutional seq2seq models and wav2vec and co-leading the fairseq platform. As a former Principal Research Scientist and area lead for speech at Meta/FAIR, he led teams that won WMT translation tasks and drove foundational projects like MMS and data2vec that scale speech and multimodal self-supervision. Based in the San Francisco Bay Area, he blends deep academic roots (PhD and First Class BSc in AI from the University of Edinburgh) with product-minded engineering to move models from research into production. Less obvious: his work repeatedly emphasized practical tooling and open ecosystems, helping entire communities adopt self-supervised speech and translation technologies.
11 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Artificial Intelligence, Doctor of Philosophy (PhD), Artificial Intelligence at The University of Edinburgh
Github Skills (14)
sequence-to-sequence10
pytorch10
artificial-intelligence10
python10
ai10
keypoint10
human-pose-estimation10
3d10
pose-estimation5
openpose5
animation3
neural-network2
machine-learning2
onnx1
Programming languages (3)
Github contributions (5)
michaelauli/michaelauli.github.io
Feb 2015 - Apr 2024
Contributions:58 pushes, 1 branch in 9 years 3 months
facebookresearch/VideoPose3D
Nov 2018 - Aug 2020
Efficient 3D human pose estimation in video using 2D keypoint trajectories
Contributions:10 commits, 4 PRs, 11 pushes in 1 year 8 months
3dhuman-pose-estimationkeypoint
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