Bo Ren

Principal Applied Scientist at Microsoft

Redmond, Washington, United States
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Summary

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Rockstar
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Bo Ren is a Principal Applied Scientist at Microsoft with nine years of hands-on experience in large-scale speech recognition and multi-modal LLMs, currently contributing to the Phi4 Multi-Modal model. Grounded in a master's in robust speech recognition, he progressed from C++ systems work to leading research and production efforts in Azure Speech, bridging classical signal-processing techniques with modern deep learning. His background includes practical audio-noise estimation and enhancement research as well as extensive engineering at scale, enabling him to translate research prototypes into deployable models. Based in Redmond, he combines a researcher’s rigor with production engineering discipline, often working at the intersection of ASR accuracy, robustness, and multi-modal integration. An uncommonly broad technical arc—from low-level C++ clients to state-of-the-art multimodal LLMs—helps him navigate both model innovation and large-system constraints.
code9 years of coding experience
job12 years of employment as a software developer
bookMaster of Electrical and Electronic Information Engineering, Robust Speech Recognition, 2.86/3.00, Master of Electrical and Electronic Information Engineering, Robust Speech Recognition, 2.86/3.00 at Nagaoka University of Technology
bookBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Northwest University
languagesEnglish, Japanese
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Github Skills (28)

pytorch10
python10
machine-learning10
cntk10
java10
numpy10
deep-learning10
gpu10
neural-network10
computer-vision10
microsoft9
acceleration9
autograd9
tensorflow9
deep-neural-networks9

Programming languages (3)

TypeScriptC++Python

Github contributions (5)

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boren-ms/FastChat

Oct 2024 - Nov 2024

Contributions:15 pushes, 2 branches in 1 month
Contributions:1 push in 1 day
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Bo Ren - Principal Applied Scientist at Microsoft