Currently IMPRS-IS & ELLIS PhD Student at the Explainable Machine Learning group in Tuebingen.Supervised by Zeynep Akata & Oriol Vinyals.Physics Bachelor & Master from Heidelberg University. Formerly research intern at MILA supervised by Joseph Paul Cohen and Yoshua Bengio, Vector supervised by Marzyeh Ghassemi and AWS Tuebingen by Peter Gehler and Thomas Brox.My interests lie in most things Machine Learning and AI related, with special interest in medical domain applications and all aspects of generalization for representation learning.
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Research ScientistGoogle DeepmindTübingen, Bw, De
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Student ResearcherGoogle Deepmind Apr 2024 - PresentLondon Area, United KingdomResearch intern & ELLIS PhD Exchange. Working on Multimodal Foundation Models.
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Doctoral StudentEllis - European Laboratory For Learning And Intelligent Systems May 2021 - PresentPhD Advisors: Zeynep Akata (University of Tuebingen) and Oriol Vinyals (Deepmind).Making models generalize better.Topics: Continual Learning & Pretraining, OOD Generalization, Contrastive Learning, Multimodal Foundation Models. -
Ai Research Scientist InternMeta May 2022 - Oct 2022Paris, Île-De-France, FranceResearch on disentangled representation learning. -
Applied Science InternAmazon Oct 2020 - Mar 2021Tübingen, Baden-Württemberg, GermanyResearch internship in the AWS Lablet team in Tübingen working on anomaly detection. -
Research InternVector Institute May 2020 - Sep 2020Remote research internship at the Vector Institute on representation and transfer learning for medical applications, supervised by Marzyeh Ghassemi. -
Research InternMila - Quebec Artificial Intelligence Institute Sep 2019 - Mar 2020Montreal, Canada AreaResearch internship at the Montreal Institute for Learning Algorithms (Mila) on unsupervised representation learning for 3D medical data and zero-shot generalization in Deep Metric Learning, supervised by Joseph Paul Cohen and Yoshua Bengio. -
Student ResearcherUniversity Of Heidelberg Feb 2017 - Sep 2019Heidelberg Area, GermanyResearch Assistant at the Center for Molecular Virology in collaboration with the Heidelberg Collaboratory for Image Processing (HCI) working on a cell tracking and colocalization pipeline. -
Student ResearcherUniversity Of Heidelberg Sep 2017 - Apr 2019Heidelberg Area, GermanyResearch at the Experimental Radiooncology Group at the University Hospital Mannheim/Heidelberg on Medical Image Analysis, specifically Semantic Segmentation and Deep Learning for Medical Image Analysis on CT data.
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InternUniversity Of Sussex Mar 2013 - Apr 2014Brighton, United KingdomInternship at the Ion Quantum Trapping group (IQT). Working on various QOL duties and frequency modulation systems.
Karsten Roth Skills
Karsten Roth Education Details
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Doctor Of Philosophy - Phd -
1.1 (Best 1.0) -
1.5 (Best 1.0)
Frequently Asked Questions about Karsten Roth
What company does Karsten Roth work for?
Karsten Roth works for Google Deepmind
What is Karsten Roth's role at the current company?
Karsten Roth's current role is Research Scientist.
What schools did Karsten Roth attend?
Karsten Roth attended University Of Tuebingen, Heidelberg University, Heidelberg University.
What skills is Karsten Roth known for?
Karsten Roth has skills like Machine Learning, Computer Vision, Python, Physics, Pytorch, Linux, Artificial Intelligence, Statistics, Data Analysis, Tensorflow, Research, Medical Image Analysis.
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Karsten Rothmeier
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Karsten Roth
Greater Munich Metropolitan Area3web.de, sandoz.com, mundipharma-biologics.com
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