I did my PhD at Inria Saclay in the DataShape team, under the supervision of Steve Oudot. My research focuses on topological data analysis (TDA) and statistical machine learning (ML), with an application to bioinformatics and genomics. I contributed to the analysis of topological descriptors and their use in ML methods such as kernel-SVM or deep learning. My favorite languages are C++ and Python, but I also know a bit of R, Matlab and Java. I am also very familiar with scikit-learn and tensorflow.
Here are some useful links:
I am happy to say that I was awarded the following prizes for my work:
- 2nd PhD Prize from ED STIC
- Thiessé de Rosemont / Schneider Prize from Chancellerie des Universités de Paris
I am currently in charge of the New-York Applied Topology Meeting Group at Columbia University. We regularly have presentations on recent trends in geometry, topology, as well as applications to biology. Feel free to reach out to me if you or someone you know would like to participate!