I'm Guillaume Ausset, PhD in Machine Learning. 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. My PhD thesis was financed by BNP Paribas where I applied my results to credit rating. I'm also interested in applying it to medicine.

I worked with Télécom Paris and the CDC on bias in machine learning where we tried to understand, analyse and eliminate the various forms of bias that people looking for state-funded formations can face..

I am currently working for Younited Credit where I am applying the state-of-the-art in default prediction to improve credit decisions.

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

Latest posts

• I don't know anything about anything. - June 26, 2021

…or you can find more in the archives.