Daniel Guest

City of Rochester, New York, United States
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Summary

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Senior
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Top School
Daniel Guest is a software engineer and researcher who blends psychophysics and computational modeling to study pitch perception and auditory stream segregation. With nine years of experience spanning academic research and industry, he has applied deep learning interpretability techniques to low-latency speech segregation during an internship at Oticon and continues postdoctoral work in auditory neuroscience at the University of Rochester. He holds a PhD in Psychology from the University of Minnesota and a BS from UT Dallas, grounding his engineering skills in rigorous experimental design and human perception. Comfortable moving between code, models, and behavioral data, Daniel brings a rare combination of signal-processing intuition and psychophysical rigor to problems in auditory scene analysis.
code10 years of coding experience
job2 years of employment as a software developer
bookVista Ridge High School
bookUniversity of Minnesota Twin Cities
bookWestwood High School
bookBachelor of Science (BS), Psychology, Bachelor of Science (BS), Psychology at University of Texas at Dallas
languagesEnglish, Spanish, Portuguese, Chinese
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Github Skills (7)

julia9
monorepo9
midi6
synthesizer5
audio5
python4
music4

Programming languages (3)

CSSCFortran

Github contributions (5)

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Contributions:43 pushes, 2 branches in 4 years 11 months
guestdaniel/postertemplate

Aug 2017 - Nov 2018

Contributions:29 commits, 9 pushes in 1 year 3 months
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