Charlotte Bunne
PhD Candidate in Computer Science, ETH Zurich
Institute for Machine Learning and ETH AI Center
Learning and Adaptive Systems Group
bunnec at inf.ethz.ch


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.

News

Publications

[* denotes equal contribution]

Extracurricular Activities

Women in Data Science Conference (WiDS)

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 was an ambassador and part of the organisation team of the WiDS Conference in Zürich 2018.

iGEM Competition

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 standardized intein-based mechanism for protein modifications (BBF RFC 105).

Service

Reviewer

Nature Communications, Neural Information Processing Systems (NeurIPS), International Conference on Machine Learning (ICML), International Conference on Artificial Intelligence and Statistics (AISTATS), Women in Machine Learning (WiML) Workshop.

Selected Top Reviewer at International Conference on Artificial Intelligence and Statistics (AISTATS).

Workshop Organizer

Optimal Transport and Machine Learning (OTML) Workshop 2021 at Neural Information Processing Systems (NeurIPS) Conference.

Teaching

Head Teaching Assistant

Teaching Assistant