About OPRI

Staff Members

Mengyao Zhu
Ocean Policy Research Institute
(Division of Ocean Policy Research)

Research Fellow
Mengyao Zhu
Mengyao Zhu is a research fellow of the Ocean Policy Research Institute (OPRI), Sasakawa Peace Foundation (SPF) since 2020. She received Ph.D. in Aquatic Bioscience at The University of Tokyo. Her research field is marine management and policy, especially focuses on the fishery stock assessment by using models, such as the spatio-temporal models, marine ecosystem models, the recruitment forecasting models, et al. From 2017 to 2019, she successively served as a Project Researcher in the University of Tokyo to participate in the Coastal Ecosystem Complex Project supported by the Ministry of Education, Culture, Sports, Science and Technology of Japan, and an Assistant Professor in Shanghai Jiao Tong University (China). Recently, she is focused on the project of Ocean Digital Society and in charge of the visualization of microplastic and fishery resource around world.


  • Fishery Stock Assessment
  • Marine Management / Policy
  • Spatio-temporal Modeling
  • Recruitment Forecasting Modeling
Zhu MY, M. Kuroki, T. Kobayashi, T. Yamakawa, T. Sado, K. Kodama, T. Horiguchi, M. Miya (2023) Comparison of fish fauna evaluated using aqueous eDNA, sedimentary eDNA, and catch surveys in Tokyo Bay, Central Japan. Journal of Marine Systems, 240, 103886. DOI: 10.1016/j.jmarsys.2023.103886 (access free: - May 24, 2023)
Zhu, MY. (2021) Current Situation for Research into the Marine Issue of Microplastics, and Future Challenges. Reprinted in The Marine Engineers (in Japanese) (original article is published in "OPRI Perspectives", and translated in English).
Zhu, MY., T. Yamakawa, T. Sakai : Combined use of trawl fishery and research vessel survey data in a multivariate autoregressive state-space (MARSS) model to improve the accuracy of abundance index estimates. Fish. Sci. 2018;DOI: 10.1007/s12562-018-1190-9
Zhu, MY., Yamakawa, T., Yoda, M., Yasuda, T., Kurota, H., Ohshimo, S., Fukuwaka, M. Using a multivariate auto-regressive state-space (MARSS) model to evaluate fishery resources abundance in the East China Sea,based on spatial distributional information. Fish Sci. 2017; 83: 499-513
Zhu, MY., Sakuramoto, K., Suzuki, N. Recruitment forecasting model of the Japanese Pacific walleye pollock Theragra chalcogramma, incorporating the ocean environment factors. International Journal of Fisheries and Aquatic studies 2013;1(1):32-38


Visualization of ocean
Academic/Professional Background
Professional Background
  • 2020- : Affiliated to OPRI-SPF as a Research Fellow
  • 2017-2019 : Successively served as a Project Researcher in the University of Tokyo and an Assistant Professor in Shanghai Jiao Tong University (China)
Academic Background
  • 2017: Ph.D. of Agriculture, Graduated from the Department of Aquatic Bioscience, Graduate School of Agriculture and Life Science, The University of Tokyo


English (Fluent), Japanese (Fluent), Mandarin Chinese (Native) 

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