Anastasia Pentina

Sr. Data Scientist

Research

(Alumni)

Anastasia got her PhD in Machine Learning from IST Austria and Master’s degree in Mathematics from Lomonosov Moscow State University, Russia. Prior to joining SDSC, she worked at IST Austria as a postdoc in Computer Vision and Machine Learning group, focusing on knowledge transfer methods in machine learning. Asya relocated to Berlin and now works as a machine learning researcher at Bayer.

Projects

Publications

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Pentina, A.; Lampert, C. H. "Multi-source domain adaptation with guarantees" NeurIPS 2019 Workshop on Machine Learning with Guarantees 2019 View publication 

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Mueller, M.; Jaehn, M.; Pentina, A.; Brunner, D.; Perez-Cruz, F.; Hueglin, C.; Emmenegger, L. "Carbosense - CO2 sensor network and simulations" 1st Swiss Workshop on Machine Learning for Environmental and Geosciences (MLEG) 2019 View publication 

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Brunner, D.; Mueller, M.; Jaehn, M.; Graf, P.; Meyer, J.; Hueglin, C.; Pentina, A.; Perez Cruz, F.; Emmenegger, L. "A low-cost sensor network to monitor the CO2 emissions of the city of Zurich" The 3rd ICOS Science Conference on Greenhouse Gases and Biogeochemical Cycles 2018 View publication 

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Pentina, A.; Ben-David, S. "Multi-task kernel Learning Based on Probabilistic Lipschitzness" Proceedings of Algorithmic Learning Theory 682-701 2018 View publication 

Mentioned in

July 9, 2020

CarboSense4D | Modelling CO2 concentration across Switzerland

The goal of CarboSense4D is to produce an accurate map of the evolution of carbon dioxide over Switzerland by applying machine learning methods from a network of low-cost sensors.

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Case Studies

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