Pierre Dognin
Research Scientist at IBM Research AI Science
Town of Yorktown, New York, United States
Summary
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Senior🎓
Top SchoolPierre Dognin is a Research Scientist at IBM Research AI with over two decades of experience bridging automatic speech recognition and multimodal deep learning, focusing today on image-text-video-speech integration for retrieval and captioning. He joined IBM Research in 2005 after a PhD in Electrical Engineering from the University of Pittsburgh and earlier research at BBN Technologies, where he developed speaker normalization methods used in major NIST evaluations. Pierre’s work spans acoustic modeling and noise robustness to unsupervised and adversarial approaches in multimodal representation learning, blending solid production ASR engineering with cutting-edge CV and language techniques. Based in Yorktown, New York, he brings a rare mix of long-term systems development (including state-of-the-art ASR engines) and current research leadership in multimodal AI. An enduring thread in his career is turning rigorous statistical and signal-processing insights into practical, deployable ML solutions.
10 years of coding experience
13 years of employment as a software developer
Engineer Diploma Electrical Engineering - Signal Processing, Engineer Diploma Electrical Engineering - Signal Processing at CPE LyonPhD Electrical Engineering, PhD Electrical Engineering at University of Pittsburgh
French, English
Github Skills (1)
machine-learning4
Programming languages (2)
Github contributions (5)
IBM/dualtkb
Nov 2020 - Dec 2021
Contributions:24 commits, 23 pushes, 1 branch in 1 year 1 month
IBM/regen
Sep 2021 - Dec 2021
Contributions:27 commits, 6 pushes in 3 months
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