I’m Guillaume Ausset, a final-year PhD Student at Telecom Paris. I’m studying survival analysis from the machine learning point of view and try to obtain non-asymptotic results without assumptions on the underlying generating process. Most of my work was financed by BNP Paribas where I applied my results to credit rating. I’m also interested in applying it to medicine.

I’m currently working for Télécom Paris and the CDC on bias in machine learning. We try to understand, analyse and eliminate the various forms of bias that people asking for formations and state funding can face.

I’m currently very interested by normalizing flows and probabilistic programming.

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