About Me

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I am an experienced Data Science professional active in the financial industry.

After graduating from ETH Zurich with a Master's in Mathematics, I went on to successfully obtain a Doctoral degree at Université Sorbonne Paris Nord. I was then employed at UBS as a Model Developer for Credit Risk before moving on to work at Laval Science as a Data Scientist. My current duty consists in the development of algorithmic high-frequency trading strategies.

I have in-depth practical experience in machine learning and data science, covering the whole lifecycle of data science applications: from the conception of a model, to stakeholder interactions, to bringing a model to production and maintaining it. I am a quick learner and I am always eager to experiment with new techniques and explore new ideas.

What motivates me in my professional life is the possibility to always learn new skills, test innovative methods, and be confronted with new problems.

I want to keep growing in my fields of expertise as well as into a wide variety of technological applications of machine learning.

In parallel to my professional activity, I am actively pursuing academical research in Algebraic Topology, with main focus on operad theory and rational homotopy theory. I am author of several published papers in these domains.

Outside of my professional activity, I am a martial arts practitioner (judo, Brazilian ju-jitsu), I enjoy climbing and bouldering, and I have been dancing Argentinian tango for about 10 years.