I finished my PhD and a short 2 months postdoc at the end of October 2018 and now I'm spending another 8 months
postdoc with my PhD supervisor (1st of May 2019-31st of December 2019). I studied my B.Sc. and M.Sc. in pure mathematics (specialized to algebraic geometry in master with thesis title: "Resolution of singularities
and Hironaka's theorem"). Then I studied my PhD in applied algebraic geometry in biology under supervision of Elisenda Feliu, and my PhD thesis title was "algebraic
tools in the study of multistationarity of chemical reaction networks". In my thesis I used parallel computation and programming with Maple and Python (I am using C++ and Julia during my current postdoc
too). I introduced algorithms which solve the questions of interests faster than former existing algorithms, or need less memory. I used not only computational algebraic geometry, but also stochastic, statistics, numerical analysis, linear algebra and graph
theory. Another thing about me is that I always like to participate conferences and use whatever new things I learn in the talks to attack the challenging questions in the topics that I work on them, even if they sound irrelevant at the beginning. As an example
you can see the use of the Kac-Rice formula to do what CAD (cylindrical algebraic decomposition) can't do in algebraic geometry in practice. I also prefer to have applications for what I do and that was the reason I didn't continue my PhD only in the pure
side and tried a topic with application in biology and chemistry, and you can see examples in my thesis such as gene-regulationary networks (like LacI-TetR), n-site phosphorylation or HK networks which have application in signal trasnduction passways and memory
role in Eukaryotic and Prekaryotic cells respectively. Links to my PhD thesis and the two first papers of my thesis are below. A preliminary draft version of the third paper can be found in my thesis text. But the results are generalized in the current postdoc
which are not in that draft. I also worked on speeding up the Monte-Carlo integrations needed in this work.