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Charlotte Bunne

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I am a PhD student in Computer Science at the Eidgenössische Technische Hochschule (ETH) Zurich under the supervision of Andreas Krause and Marco Cuturi. I am part of the Institute for Machine Learning and the ETH AI Center. During my PhD, I interned at Google Research and Apple Research, and visited the Broad Institute of MIT and Harvard as a research fellow. Before, I worked with Stefanie Jegelka as a Master student at the Massachusetts Institute of Technology (MIT). During my Master’s studies in Computational Biology, I also interned at IBM Research. My research focuses on dynamic optimal transport and optimal transport across incomparable domains with applications in single-cell genomics and protein design. Throughout my undergraduate and graduate studies I’ve been a Fellow of the German National Academic Foundation. For my Master’s studies I received the Excellence Scholarship of the ETH Foundation. I am a recipient of the Google Generation Scholarship and holder of the ETH Medal.

Welcome to the Artificial Intelligence in Molecular Medicine Research Group Explore We are part of the EPFL School of Computer Science (IC), the Swiss Institute for Experimental Cancer Research (ISREC) of the School of Life-Sciences (SV) and the EPFL AI Center in Lausanne, Switzerland. The group is led by Charlotte Bunne . Our research aims to advance personalized medicine by utilizing machine learning and large-scale biomedical data. Machine Learning Research To advance modern medicine, methods beyond conventional machine learning are needed. We develop AI methods using large-scale biomedical

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