I am a researcher at Microsoft Research Cambridge working on deep generative models for inverse problems and analog-amenable machine learning. I did my PhD in machine learning with Bernhard Schölkopf at the Max Planck Institute for Intelligent Systems. Previously, I studied mathematics and physics in Cambridge and Frankfurt.

During my PhD I developed training algorithms for robust and causal machine learning based on empirical likelihood estimation. I also worked on inverse problems and temporal point processes.

You can find me on Github, LinkedIn and Google Scholar.



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