Rebekka Burkholz

Research Fellow

Department of Biostatistics

Research Interests

I am a postdoctoral research fellow working with John Quackenbush. My research combines robust algorithm design with the quest of a theoretical understanding of deep neural networks. Cascade processes are fundamental to most of the problems I study, e.g., complex network inference, gene regulation, and systemic risk. More generally, I am interested in machine learning problems for high dimensional data as in gene regulation. In particular, I  care about incorporating existing theory in the machine learning approach to alleviate the curse of dimensionality.

Short CV

Since February 1st, 2019, I work with John Quackenbush and a great interdisciplinary team at Harvard T.H. Chan School of Public Health on inference of gene regulatory networks. Our goal is to gain new insights into cancer progression.  From June 2017 – January 2019, I enjoyed doing postdoctoral research at the Institute for Machine Learning  with Joachim Buhmann, where I had the pleasure to lead the efforts of ISE group to automate diagnosis and prognosis of carciovascular diseases in collaboration with cardiologists at UniversitySpital Zurich. From June 2016 – May 2017, I was a PostDoc at the Chair of Systems Design headed by my doctoral father Frank Schweitzer at ETH Zurich and am happy to continue  fruitful collaborations. From June 26th – July 12th, 2017, I felt honored  to visit Asuman Ozdaglar and her group at MIT. My PhD research about systemic risk (February 2013 – May 2016) was part of the ETH48 project at the ETH Risk Center, supervised by Frank Schweitzer and co-supervised by Hans J. Herrmann. My thesis has won the Zurich Dissertation Prize and my work on systemic risk in international maize trade won the CSF Best Contribution Award. Before moving to Zurich, I interned at d-fine and Deutsche Bank in Frankfurt am Main (Germnay) to experience the fast moving financial industry.  I am grateful for the many insights. I enjoyed studying  Physics (B.Sc.) and Mathematics (B.Sc.,M.Sc) at TU Darmstadt (Germany) from October 2006 to March 2011 and at Lund University from September 2008 – June 2009. I loved to explore the realms of stochastic as well as deterministic partial differential equations, fluid dynamics, numerical analysis, and optimization. I am very grateful to Evangelisches Studienwerk Villigst for the academic and ideational scholarship and to Femtec for the soft skill trainings as well as the great network.

Personal webpage