Tess Breton

I am currently a first-year PhD candidate in MAP5 at Université Paris-Cité and the PreMedical team at Inria Montpellier. I am supervised by Antoine Chambaz (MAP5), Julie Josse (PreMedical) and Geneviève Robin (MAP5). I am working on a clinical study of Trikafta (also known as Kaftrio), used for the treatment of cystic fibrosis, from which we try to understand and explain the heterogeneity observed in treatment responses (notably using causal inference).

Before that, I followed the MVA master’s program at ENS Paris-Saclay. I did my end-of-studies internship at Owkin, where I worked on predicting response to chemotherapy in patients with bladder cancer, using models trained on preclinical data and using a set of RNAseq modalities as input. I have a strong academic background in Statistics and Machine Learning from my years at École Polytechnique, where I specialized in Applied Mathematics. Two years ago, I was an intern at Columbia University for four months, working on extra-chromosomal DNA in the Irving Institute for Cancer Dynamics. A year before that, I was a member of the Advanced Visualization team at GE HealthCare, where my internship project consisted in evaluating a Deep Learning algorithm for lung nodule detection and segmentation on CT scans.

Beyond academics, I’m passionate about hiking and traveling. Over the past few years and as part of my curriculum, I’ve had the opportunity to spend several months in both Côte d’Ivoire and the United States, which I really enjoyed. Music is another big part of my life – I’ve been playing the piano for over 10 years, and still love learning new pieces.

Check out my projects here!