Gašper Beguš is an Associate Professor at UC Berkeley who combines linguistics, AI, and cognitive science to build interpretable models of language learning and processing. He directs the Berkeley Speech and Computation Lab, where he develops unsupervised generative models that aim to replicate human infants' trajectory of language acquisition. As Linguistics Lead at Project CETI, he applies computational tools to decode complex animal communication, notably sperm whale vocalizations. Beyond research, he stewards student life as College Principal of Bowles Hall, blending academic mentorship with residential leadership. His work bridges theoretical phonology, spoken language processing, and deep-learning interpretability, and has been featured widely in the press. Trained at Harvard and active across multiple interdisciplinary institutes, he uniquely pairs rigorous field-inspired questions with hands-on model-building.
8 years of coding experience
5 years of employment as a software developer
Erasmus Exchange Comparative Indo-European Linguistics, Erasmus Exchange Comparative Indo-European Linguistics at University of Vienna
Univ. Grad. Comparative Linguistics Slovene Lang. and Lit., Univ. Grad. Comparative Linguistics Slovene Lang. and Lit. at University of Ljubljana
Doctor of Philosophy (PhD) Linguistics, Doctor of Philosophy (PhD) Linguistics at Harvard University
fiwGAN/ciwGAN (Featural and Categorical InfoWaveGAN): Generative Adversarial Phonology and Semantics
Contributions:67 commits, 67 pushes in 1 year 10 months
pytorchssreflectworkitemadversarialsemantics
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