I'm a first year PhD student in the
Machine Learning Group at the
University of Geneva.
My supervisor is François Fleuret.

Scientifically speaking, I am interested in all things that lie in the triangle spanned by the fields of computer science, math and physics.

In my freetime I like to do Brazilian Jiu-Jitsu, think about combinatorics,
play chess or basketball.

Here is a __brief summary__ of my scientific life so far.

# research

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# about me

I started my undergraduate education in engineering at the Budapest University of Technology and Economics,
where I quickly gravitated towards the more abstract side of engineering, in particular control theory and nonlinear dynamics.
I spent the last year studying the chaotic behavior of power electronic converters.

After grauduation I started a master's in (applied) mathematics at CEU with the idea of going deeper into control theory.
In my first semester, however, I had an introductory course about differental geometry that made me forget about the applied side
of mathematics and led me to focus on the fields of differential and algebraic geometry and topology.
I wrote my thesis about abelian Higgs-bundles with logarithmic singularities.

Next, I spent 2 wonderful years at the University of Hamburg
to understand a bit more about how all this great geometry underpins modern theoretical physics.

While in Hamburg I also took a course on machine learning which I found so cool that
I am currently doing a PhD in machine learning at the University of Geneva.