Senior Staff Research Scientist at IEEE Open Journal of Signal Processing
San Francisco Bay Area United States
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Summary
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Senior
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Top School
Ehsan Variani is a Senior Staff Research Scientist at Google with 13 years of research-focused experience in machine learning, deep neural networks, information theory, and speech/image recognition. He progressed through multiple research roles at Google after earning MS and PhD degrees in Electrical and Computer Engineering from Johns Hopkins and dual BS degrees in Engineering and Mathematics from Sharif University. His work blends rigorous academic training with production-scale research, and he contributes to the field as an associate editor for the IEEE Open Journal of Signal Processing. Known for bridging theory and applied systems, he has a track record of internships and long-term research engagements that helped shape applied ML at Google. Based in the San Francisco Bay Area, he combines deep technical expertise with editorial leadership, suggesting a commitment to both advancing and curating high-quality research. An often-overlooked detail: his background in both mathematics and engineering gives him a rare ability to translate formal information-theoretic insights into practical, deployable models.
13 years of coding experience
12 years of employment as a software developer
Shahid Soltani High School
Johns Hopkins University
Bachelor of Science (BS) Electrical Electronics and Communications Engineering, Bachelor of Science (BS) Electrical Electronics and Communications Engineering at Sharif University of Technology
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