Ferenc Huszár
Founder at University of Cambridge
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolFerenc Huszár is a machine learning researcher and founder with 14 years of experience bridging principled Bayesian thinking and practical deep learning. Now a Professor of Machine Learning at Cambridge and founder of Reasonable, he studies representation learning, systematic generalisation, causally robust models and the probabilistic foundations of deep learning. His industry background includes leading research on data-efficient ML, fairness, transparency, recommender systems and low-level vision at Twitter after his team’s video-compression work at Magic Pony was acquired. He combines academic rigor from a Cambridge PhD with hands-on startup and venture experience, and he channels that into education and philanthropy through AI retreats and a $3M scholarship fund for Ukrainian students. Notably, he describes himself as a “secular Bayesian,” signaling a pragmatic blend of Bayesian principles with modern deep learning practice.
13 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Machine Learning, Doctor of Philosophy (Ph.D.) Machine Learning at University of CambridgeMSc Computer Science, MSc Computer Science at Budapest University of Technology and Economics
English, Hungarian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
probabilistic-models10
probabilistic10
mcmc10
bayesian10
probabilistic-programming10
bayesian-inference10
statistical-inference10
modeling9
python9
variational-inference9
bayesian-statistics9
machine-learning8
inference3
sam1
Programming languages (2)
Github contributions (5)
fhuszar/thesis
Jun 2012 - Nov 2012
Contributions:9 commits in 4 months
phd-thesisbayesian-inferenceinferencemachine-learningthesis
zsiga007/Rethinking-SAM
Sep 2022 - Oct 2022
Implementation of Variational SAM, Random SAM, Mix SAM.
Contributions:2 PRs, 27 pushes, 3 branches in 9 days
samvariationalmix
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