Gil Keren
Research Scientist at Facebook
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolGil Keren is a research scientist and final-year PhD candidate in computer science at the University of Augsburg with a decade of experience bridging academic research and industry AI work. Currently at Facebook since 2019, he researches neural networks, one-shot and reinforcement learning, active learning, and multimodal perception spanning vision, audio, and NLP. His background in mathematics and psychology from Ben-Gurion University informs cognitive and human-centered modeling choices in his ML research. He has a track record of teaching core math courses and earlier production software engineering at Microsoft and in the IDF, giving him a rare mix of theoretical rigor and practical engineering. Gil’s publications (see Google Scholar) reflect a focus on data-efficient learning and cognition-inspired models, often tackling problems at the intersection of perception and decision-making.
10 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of AugsburgBachelor's degree, Mathematics and Psychology, Bachelor's degree, Mathematics and Psychology at Ben-Gurion University of the Negev
English, Hebrew, German
Github Skills (20)
python10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
ctc9
sequence9
sequence-to-sequence8
prediction8
facebook8
artificial-intelligence8
pytorch8
Programming languages (2)
Github contributions (5)
cruvadom/Prediction_Intervals
Mar 2018 - May 2019
Computing calibrated prediction intervals for neural network regressors
Contributions:10 commits, 1 PR, 9 pushes in 1 year 2 months
predictionmachine-learningprediction-intervalsneural-networkcomputing
cruvadom/Convolutional-RNN
Feb 2017 - May 2017
Contributions:13 commits, 11 pushes, 1 branch in 3 months
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