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验证码:

Per Alexandersson

职称:professor

所属学校:University of Pennsylvania

所属院系:mathmatics

所属专业:Mathematics, General

联系方式:

简介

Since January 2015, I work as a post-doc at University of Pennsylvania, with Jim Haglund, funded by a grant from the Knut and Alice Wallenberg foundation. Before that, (year 2014), I was working as a a post-doc, at Universität Zurich, Schweiz with Valentin Féray. My field of research is representation theory and combinatorics, more specifically, polynomials given by structure constants (Kostka-coefficients, characters of the symmetric group) and Jack generalizations of these. In spring 2013 I defended my thesis titled Combinatorial Methods in Complex Analysis, where Boris Shapiro was my primary advisor. My research interests are mainly combinatorics, complex analysis and algebraic geometry. My favorite research tools are Mathematica, OEIS, FinstStat, MathOverflow, WolframAlpha and Google. I am also a bit interested in special polynomials, for example real-rooted polynomials, and polynomials obtained from combinatorial statistics. Finally, I must admit that I have a soft spot for tilings, discrete dynamical systems, machine learning, neural networks and cellular automata.

职业经历

Since January 2015, I work as a post-doc at University of Pennsylvania, with Jim Haglund, funded by a grant from the Knut and Alice Wallenberg foundation. Before that, (year 2014), I was working as a a post-doc, at Universität Zurich, Schweiz with Valentin Féray. My field of research is representation theory and combinatorics, more specifically, polynomials given by structure constants (Kostka-coefficients, characters of the symmetric group) and Jack generalizations of these. In spring 2013 I defended my thesis titled Combinatorial Methods in Complex Analysis, where Boris Shapiro was my primary advisor. My research interests are mainly combinatorics, complex analysis and algebraic geometry. My favorite research tools are Mathematica, OEIS, FinstStat, MathOverflow, WolframAlpha and Google. I am also a bit interested in special polynomials, for example real-rooted polynomials, and polynomials obtained from combinatorial statistics. Finally, I must admit that I have a soft spot for tilings, discrete dynamical systems, machine learning, neural networks and cellular automata.

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