Stefan Braun
Machine Learning Researcher at Apple
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolStefan Braun is a machine learning researcher with a decade of experience developing deep neural networks for real-time, real-world systems, currently advancing Siri’s automatic speech recognition at Apple. He holds a PhD from ETH Zürich where he focused on end-to-end sequence-to-sequence models and multi-channel enhancement, and earlier applied robotic perception techniques to autonomous driving during a Daimler master’s project. Stefan bridges rigorous academic research and production ML, prioritizing faster, more accurate models for latency-sensitive applications. Based in Boston, he combines a strong mechanical engineering foundation with hands-on speech and sequence modeling expertise, making him adept at cross-disciplinary problems that span perception to interaction.
11 years of coding experience
Master's degree, Mechanical Engineering, Master's degree, Mechanical Engineering at Karlsruhe Institute of Technology (KIT)Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at ETH ZürichEngineer's degree, Engineer's degree at INSA Lyon - Institut National des Sciences Appliquées de Lyon
French, English, German, Portuguese
Github Skills (53)
speech-to-text10
benchmark10
python10
machine-learning10
text-to-speech10
recurrent-neural-networks10
numpy10
lasagne10
kaldi10
lstm10
deep-learning10
tensorflow10
speech10
gpu10
ctc10
Programming languages (5)
Github contributions (5)
stefbraun/symbolic-computation-examples
Sep 2015 - Jul 2016
Contributions:13 commits, 12 pushes, 1 branch in 9 months
stefbraun/rnn_benchmarks
Jun 2017 - Jun 2018
RNN benchmarks of pytorch, tensorflow and theano
Contributions:64 commits, 56 pushes, 1 branch in 1 year
pytorchtensorflowtheanobenchmarklasagne
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