Momoko Hayamizu
Scholar

Momoko Hayamizu

Google Scholar ID: Yy6gl_UAAAAJ
Associate Professor, Department of Applied Mathematics, Waseda University
combinatoricsphylogeneticsmathematical biologyalgorithm
Citations & Impact
All-time
Citations
58
 
H-index
5
 
i10-index
3
 
Publications
17
 
Co-authors
1
list available
Contact
No contact links provided.
Resume (English only)
Research Experience
  • Jun 2024 – Present: Associate Professor, Department of Applied Mathematics, Faculty of Science and Engineering, Waseda University
  • Apr 2022 – Jun 2024: Associate Professor, Faculty of Science and Engineering, Waseda University
  • Apr 2020 – Mar 2022: Assistant Professor, Faculty of Science and Engineering, Waseda University
  • Apr 2017 – Mar 2020: Assistant Professor, Department of Statistical Science, School of Multidisciplinary Sciences, The Graduate University for Advanced Studies
  • Apr 2017 – Mar 2020: Assistant Professor, The Institute of Statistical Mathematics
  • Oct 2019 – Present: PRESTO Researcher, Japan Science and Technology Agency (JST)
  • Oct 2016 – Mar 2020: PRESTO Researcher, Japan Science and Technology Agency (JST)
  • Apr 2014 – Mar 2017: Research Assistant, Research Center for Statistical Machine Learning, The Institute of Statistical Mathematics
  • Nov 2013 – Mar 2014: Technical Assistant, Research Center for Statistical Machine Learning, The Institute of Statistical Mathematics
  • Apr 2012 – Oct 2013: Radiologist, Department of Radiology, The University of Tokyo Hospital
  • Apr 2010 – Mar 2012: Resident, Kohnodai Hospital, National Center for Global Health and Medicine
Background
  • Initially attended medical school with the goal of becoming a basic medical researcher and worked as a clinician for several years after graduation.
  • Shifted to applied mathematics due to a long-standing interest in methods for extracting information from data since student days.
  • Aims to contribute to medicine through theoretical research on methods for analyzing biological data.
  • Research spans mathematical sciences, information sciences, statistical sciences, and life sciences, specializing in discrete mathematics (combinatorics, graph theory, discrete geometry, discrete algorithms).
  • Strength lies in formulating important biological problems into mathematical ones and creating new theorems and algorithms to solve them.
  • Currently focused on the mathematical and computational aspects of phylogenetic trees and networks and their applications, which help elucidate biological processes like cell differentiation and viral/bacterial evolution.
  • Actively involved in education and outreach, including a dedicated laboratory YouTube channel.