Nakajima, Shuta
ナカジマ シュウタ
Nakajima, Shuta
Faculty of Science and Technology Department of Mathematics/Associate ProfessorBasic Information
Specialty
Probability theory, Universality, KPZ equation, First-passage percolation, Spin glass
Related Links
Paper Review Qualification
Thesis Guide Qualification in the Graduate School of Science and Technology : Master/Doctor
Message from Faculty
Probability theory and statistical physics are fascinating fields that uncover universal and beautiful mathematical laws hidden within seemingly random and unpredictable phenomena. University mathematics, especially modern probability theory, requires more than just calculation skills. It demands the ability to rigorously formulate why such phenomena occur and to prove them logically. While you may find the material abstract and difficult at first, the joy of grasping the essential meaning of a theorem through trial and error is truly irreplaceable. Please do not hesitate to ask questions and actively engage in discussions whenever you encounter something you do not understand. Let us think together and enjoy exploring the depth of mathematics.
Biography
Researcher profile
My main research themes include the analysis of large deviation principles and probabilistic models such as first-passage percolation, directed polymers, the KPZ universality class, and the Ising perceptron. I received my Bachelor's degree from Nagoya University, and my Master's and Ph.D. degrees from the Research Institute for Mathematical Sciences at Kyoto University. Prior to my current position, I served as a postdoctoral researcher at the University of Basel in Switzerland and as a senior lecturer at Meiji University.
Research experience
University of Basel Department of Mathematics and Computer Science Postdoctoral researcher
Meiji University Department of Mathematics, School of Science and Technology Senior Lecturer
Research
Reseach overview
I focus on studying probability theory and its universal aspects. My goal is to understand the common patterns in different probabilistic models, including work on the KPZ equation, first-passage percolation, and spin glasses.
Research areas
Applied mathematics and statistics / Probability theory