Leonardo Pepino
Research Scientist at Google DeepMind
Buenos Aires, Autonomous City of Buenos Aires, United States
Summary
👤
Senior🎓
Top SchoolLeonardo Pepino is a research scientist and acoustics engineer with 8+ years in audio processing and over 6 years working on machine learning and deep learning, currently joining Google DeepMind after completing a Ph.D. in Computational Science at the University of Buenos Aires. His research centers on self-supervised audio representation learning, applied to challenging real-world problems at the intersection of AI, speech, and music. He combines academic rigor—multiple high-impact publications and supervision of undergraduate theses—with industry experience from internships at Google Research and ASAPP, and hands-on ASR and SSL model work in competitive settings like CHiME. Known for pairing strategic vision with pragmatic execution, he focuses on identifying core problem structure and crafting creative, deployable solutions. Based in Buenos Aires, he brings a multidisciplinary background in acoustics and ML that helps translate perceptual audio challenges into scalable AI systems.
8 years of coding experience
9 years of employment as a software developer
Ingeniería, Acoustics, Ingeniería, Acoustics at Universidad Nacional de Tres de FebreroPhD, Computational Science, PhD, Computational Science at Universidad de Buenos Aires
Github Skills (43)
audio-loss-function10
python9
machine-learning9
gpu9
loss9
deep-learning8
audio8
speech-processing7
perceptual7
neural-network7
numpy7
voice-recognition7
tensorflow7
huggingface7
speech-to-text7
Programming languages (2)
Github contributions (5)
mrpep/Fast-Music-Source-Separation
Oct 2018 - Jan 2023
Contributions:1 release, 75 commits, 65 pushes in 4 years 2 months
mrpep/dienen
Apr 2021 - Jan 2022
Build complex deep learning models using configuration files
Contributions:1 release, 2 PRs, 93 pushes in 8 months
deep-learningconfiguration-filesdeep-learning-modelsneural-networks
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