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Internships and Thesis Projects

 
 
 
 
 
April 2018 – December 2018
Cambridge, United States

Master’s Thesis

Computer Science and Artificial Intelligence Laboratory (CSAIL)

Comparing probability distributions is of central importance in the field of machine learning. optimal transport is a way to measure a distance between probability distributions taking into account the underlying geometry of the data. It has been applied recently in many machine learning settings. In my master’s thesis in the Machine Learning Group I study cutting edge machine learning algorithms in relation to optimal transport metrics. The project is supervised by Stefanie Jegelka and David Alvarez Melis.
 
 
 
 
 
October 2017 – March 2018
Zurich, Switzerland

Software Engineering Internship

IBM Research

As intern in the Cognitive Computing & Industry Solutions Lab of IBM Research Zürich I built a software to infer gene regulatory networks from high-throughput data. The project was supervised by Roland Mathis, Matteo Manica and María Rodríguez Martínez.
 
 
 
 
 
April 2016 – August 2016
Heidelberg, Germany

Bachelor’s Thesis

German Cancer Research Center (DKFZ)

Recent studies have implicated a subpopulation of self-renewing cancer stem cells (CSCs) as the seeds of malignant brain tumour growth. As student in the Theoretical Systems Biology Lab at the German Cancer Research Center I proposed an ODE-based framework which describes tumour initiation and propagation based on generational hierarchy and growth-restricted progeny cells. The project was supervised by Lisa Buchauer and Thomas Höfer.

Extracurricular Projects

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

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