Rebekka Burkholz

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.