Efthymios Tzinis
Senior Research Scientist at Google
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolEfthymios Tzinis is a senior research scientist at Google with nine years of experience specializing in audio-visual perception, sound separation, and on-device audio generation for Pixel devices. He earned a PhD in Computer Science from UIUC and previously contributed research at MERL and Meta Reality Labs, with a past Google PhD Fellowship recognizing his work. Efthymios has a strong track record of turning cutting-edge research into deployable features, leading a team that prototypes and ships new audio models for mobile inference. His background blends deep academic rigor with practical ML engineering—he has repeatedly improved state-of-the-art source separation methods and built robust testable codebases during multiple Google internships. Based in Cambridge, MA, he brings both systems-level thinking and hands-on experimentation, often exploring unsupervised and multimodal approaches that reduce reliance on labeled data.
9 years of coding experience
6 years of employment as a software developer
High School, High School at Arsakeio Tositseio EkalisDoctor of Philosophy - PhD Computer Science (Artificial Intelligence), Doctor of Philosophy - PhD Computer Science (Artificial Intelligence) at University of Illinois Urbana-ChampaignDiploma - MEng Computer Science, Diploma - MEng Computer Science at National Technical University of Athens
English, Greek
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (23)
downsampling10
resampling10
audio10
speech10
source-separation10
self-organizing-map10
deep-learning9
clustering9
adaptation9
spatial8
speech-enhancement8
variational-autoencoder8
pytorch8
recurrence7
heterogeneous7
Programming languages (2)
Github contributions (5)
etzinis/fedenhance
Nov 2020 - Nov 2021
Contributions:97 commits, 7 pushes, 1 branch in 11 months
etzinis/unsupervised_spatial_dc
Aug 2018 - Oct 2021
Code for the paper: "Unsupervised Deep Clustering for Source Separation: Direct Learning from Mixtures using Spatial Information"
Contributions:201 commits, 2 PRs, 3 pushes in 3 years 2 months
pytorchsource-separationk-meansdeep-learningspatial
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