Karen Ullrich
Research Scientist at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolKaren Ullrich is a research scientist at Meta with 11 years of experience advancing deep learning and information theory, and a PhD in Machine Learning from the University of Amsterdam. Her work spans top-tier research environments including FAIR NY, the Vector Institute, DeepMind, and Microsoft's Bishop lab, and she regularly publishes at leading AI conferences (see her Google Scholar). She brings a strong theoretical foundation from physics and computational science to applied ML problems, often blending information-theoretic perspectives with practical model development. Notably, her postdoctoral and collaborative roles reflect a knack for cross-institutional research that translates into high-impact publications and interdisciplinary projects.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree Physics, Bachelor's degree Physics at Universität LeipzigDoctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at University of Amsterdam
Github Skills (38)
python10
machine-learning10
deep-learning10
gpu10
pytorch9
numpy9
acceleration9
tensorflow9
neural-network9
tensor9
image-compressor9
gpu-acceleration9
compression9
prediction8
autograd8
Programming languages (1)
Github contributions (5)
AMLab-Amsterdam/Manuals
Nov 2016 - Apr 2018
Contributions:19 commits, 1 push in 1 year 5 months
manuals
KarenUllrich/binary-VAE
Jun 2019 - Feb 2020
Contributions:16 commits, 14 pushes, 1 branch in 7 months
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