Clara Meister
Postdoctoral Researcher at EPFL
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolClara Meister is a postdoctoral researcher and continuing studies lecturer based in Zurich with nine years of experience bridging cutting-edge computer science research and practical AI/data education. After completing a PhD at ETH Zurich under Ryan Cotterell and Thomas Hofmann, she now holds roles at EPFL and ETH where she develops continuing studies programs in AI and data technologies while advancing research. Her background includes systems research, applied ML for scientific imaging at SLAC, and hands-on engineering internships across industry, giving her fluency in both experimental and production codebases. Clara’s work uniquely blends rigorous academic mentorship with curriculum design, making complex machine learning concepts accessible to professionals. Colleagues describe her wry resilience—summed up by her cheeky “Switzerland can't kick me out yet” line—which mirrors a pragmatic, persistent approach to long-term research and teaching.
9 years of coding experience
3 years of employment as a software developer
Doctor of Science Computer Science, Doctor of Science Computer Science at ETH ZürichMaster’s Degree Computational and Mathematical Engineering, Master’s Degree Computational and Mathematical Engineering at Stanford University
Github Skills (49)
transformers10
pytorch10
artificial-intelligence10
language-model10
python10
machine-learning10
seq2seq10
facebook10
flax10
deep-learning10
tensorflow10
conformer10
bert10
natural-language-processing10
ctc10
Programming languages (5)
Github contributions (5)
rycolab/bfbs
Jun 2020 - Aug 2020
Contributions:31 commits, 1 push, 1 branch in 2 months
cimeister/pu-learning
Feb 2019 - May 2021
Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning
Contributions:6 commits, 1 PR, 6 pushes in 2 years 2 months
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