I am a Master’s student in Computational Biology and Bioinformatics at the Eidgenossische Technische Hochschule (ETH) Zürich and currently a visiting student at the Massachusetts Institute of Technology (MIT). For my Master’s thesis supervised by Stefanie Jegelka and Andreas Krause I work at the intersection of machine learning and optimal transport.
I strive to gain a broad foundation of knowledge in different fields and to develop new ideas in an interdisciplinary research environment.
Visiting Student in Computer Science, 2018
Massachusetts Institute of Technology (MIT)
Master's Student in Computational Biology, 2018
Eidgenossische Technische Hochschule (ETH)
Bachelor's Student in Biosciences, 2016
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Internships and Thesis Projects
Women in Data Science (WiDS) is a one day technical conference aiming to inspire and educate data scientists worldwide, regardless of gender, and support the women in the field. I am an ambassador and part of the organisation team of the WiDS Conference in Zürich.
I joined the iGEM Team Heidelberg 2014 of Heidelberg University. We developed a heat stable DNA-methyltransferase for a PCR 2.0 and designed a standardised intein-based mechanism for protein modifications (BBF RFC 105).