Rebekka Burkholz
Fellow or Post Doc

Rebekka Burkholz

Postdoctoral Research Fellow



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. 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.

Master, 03/2012, Mathematics
TU Darmstadt, Germany

Bachelor, 04/2011, Physics
TU Darmstadt, Germany

Bachelor, 06/2010, Mathematics
TU Darmstadt, Germany

PhD, 06/2016, data science
ETH Zurich, Switzerland

CSF Best Contribution Award
CSF Conference "Tackling World Food System Challenges"

Zurich Dissertation Award for PhD thesis
ETH Zurich