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 (but not as much as the other Ausset.) In another life I studied stochastic calculus and mathematical finance, and worked as a quant. You can still find cheat sheets I had written for exams here.
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. I love Julia and think more people should give it a try.
This blog was generated with Hakyll, a Haskell static site generator, when I somehow decided 7 years ago that I wanted to learn Haskell. I’ve forgotten everything about Haskell by now, though.
The source is entirely accessible here.
You can write to me at
guillaume at ausset dot me. You can verify I am indeed me by using PGP.