David Gaddy
Research Scientist at Google
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolDavid Gaddy is a research scientist at Google with 12 years of experience applying machine learning to natural language and speech problems. He completed a PhD at UC Berkeley under Dan Klein, working on semantic parsing, grounded instruction following, syntactic parsing, and novel speech synthesis from biosignals. His background blends rigorous academic research with industry internships at Facebook AI and practical engineering experience dating back to MIT and early roles at Diffeo and Charles River Analytics. At Google he turns core NLP advances into scalable research and prototypes, drawing on a rare combination of linguistic insight and signal-processing know-how. Based in Mountain View, he is comfortable straddling experiments and production-ready systems, and has demonstrated a consistent interest in multimodal language-speech interfaces that go beyond standard text pipelines.
12 years of coding experience
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of California, BerkeleyBachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Massachusetts Institute of Technology
Github Skills (38)
silent10
intellij9
python9
machine-learning9
acl9
deep-learning9
speech9
nlp8
tensorflow8
deploying8
data-science7
keras-tensorflow7
neural-network7
java7
scala7
Programming languages (3)
Github contributions (5)
dgaddy/dgaddy.github.io
May 2018 - Sep 2022
Contributions:18 pushes, 1 branch in 4 years 4 months
dgaddy/Randomized-Greedy-Constituency-Parser
Sep 2014 - Mar 2016
Contributions:117 commits, 25 pushes, 2 branches in 1 year 6 months
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