Petra Poklukar is a research scientist at Google Research in Zurich with 11 years of experience bridging mathematics and machine learning. She completed a PhD at KTH under Danica Kragic studying representation learning and deep generative models, with a thesis focused on the geometric structure of representation spaces. Petra blends theoretical rigor from prior doctoral work in algebraic topology with practical ML engineering—proficient in Python and PyTorch—to develop and evaluate generative models. Her background includes data-science roles at King and hands-on systems work during earlier internships, giving her a rare mix of applied product insight and deep mathematical foundations. Based in Stockholm and educated at KTH, ETH Zurich and the University of Ljubljana, she is especially interested in applying geometric and topological methods to improve representation learning.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at KTH Royal Institute of Technology
Master's degree, Mathematics, 10/10, Master's degree, Mathematics, 10/10 at University of Ljubljana, Faculty of Mathematics and Physics
Master's degree, Mathematics, Master's degree, Mathematics at ETH Zurich
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