I hold the position of Laplace Postdoctoral Chair in Data Science at École normale supérieure in Paris, where I work with Emmanuel Dupoux and the CoML team. Before that, I was a PhD student at Carnegie Mellon University in Graham Neubig's NeuLab. In the past, I have also interned at Facebook and Deepmind. You can find my full CV here and the list of my publications there or on Google scholar.

My main area of interest revolves around developing machine learning models that can handle non-stationary data distributions, with a particular focus on natural language processing applications. Following this leitmotiv I have worked on distributional shift in the form of domain shift, adversarial perturbations and more recently continual learning of multiple tasks. I have also developed a recent interest in emergent communication.

I also used to be an active contributor of DyNet, a toolkit for dynamic neural networks. Check it out!

Other than that I like reading sci-fi, sleeping, eating and playing video games. Recently I've picked up miniature painting and watercolor painting.

Before studying at CMU, I was an "Élève ingènieur" at École polytechnique in France.

My email is pmichel31415[at]gmail.com. You can also find me on Twitter, where I mostly tweet about my own work.


Some projects I've been doing on the side (not so) recently: