Judy Hoffman
Associate Professor
Irvine, California, United States
Summary
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Senior🎓
Top SchoolJudy Hoffman is an Associate Professor of Computer Science with 12 years of experience bridging deep learning research and practical computer vision systems. With a Ph.D. from UC Berkeley and postdoctoral stints at Stanford and Berkeley, she has advanced transfer learning, model efficiency, and algorithmic fairness through both academic and industry-facing work, including a visiting researcher role at Facebook AI Research. Her career spans faculty positions at Georgia Tech and UC Irvine, combining rigorous research with mentorship and course instruction going back to graduate teaching roles. Notably, she blends theoretical insight with applied impact—publishing transferable methods that make models more efficient and fair across domains—while maintaining an active academic webpage that curates her evolving research portfolio.
12 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical Engineering and Computer Science, Doctor of Philosophy (Ph.D.) Electrical Engineering and Computer Science at University of California, Berkeley
Github Skills (10)
computer-vision9
machine-learning8
pytorch8
deep-learning7
image-translation4
cyclegan4
computer-graphics4
translation4
dcgan3
image-generation2
Programming languages (1)
Github contributions (5)
jhoffman/cycada_release
Jul 2018 - Sep 2021
Code to accompany ICML 2018 paper
Contributions:7 commits, 1 PR, 6 pushes in 3 years 3 months
pytorchdeep-learningcomputer-visionmachine-learningicml-2018
jhoffman/cma
Jun 2014 - Sep 2021
Contributions:19 commits, 3 pushes in 7 years 4 months
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