Last update: 26th June, 2026.
Affiliation: Postdoctoral Research Fellow at University of Michigan, Department of Computational Medicine and Bioinformatics (group of Prof. Masuda Naoki)
Contact: yusukeka[-at-]umich.edu
Research theme: I am interested in nonlinear dynamics, mathematical modeling, data analysis, and their application to medical science.
August 4th, 2026: Our preprint has been published in arXiv (open access). Using position-tracking data of cell migration, we examined the validity of Langevin models, which describe stochastic motion. Using likelihood-based Bayesian approach, we evaluated which of several candidate models best explains the observed data. This work was carried out during my research stay at University of Potsdam in Germany.
April 1st, 2026: Assigned to Postdoctoral Research Fellow at University of Michigan
March 24th, 2026: Obtain PhD in Science.
September 25th, 2025: Our paper has been published in Physical Review E (PDF is here). We propose a Bayesian framework for estimating the parameters of a coupled-oscillator model from time-series data of macroscopic observables (order parameters) and discuss stochastic model reduction from a data-driven perspective. Posterior distributions and the marginal likelihood (model evidence) are computed via replica-exchange Monte Carlo.
July 29th, 2025: Oral presentation entitled "Bayesian comparison of Langevin models from single tracking datasets of cell motility" at ECC11.
October 2024 - March 2025: Research stay at Biological Physics Group, University of Potsdam (Prof. Carsten Beta, Germany) as a visiting PhD student.
March 19th, 2025: Poster presentation at DPG Spring Meeting in Regensburg, Germany.