Members

I am an environmental and resource economist specializing in fisheries resource management and fisheries economics. My research focuses on understanding how harvesters adapt their behavior in response to species range shifts driven by climate change. Specifically, I explore how fishers respond to evolving fishing opportunities, the implications of these responses for biological fish stocks, and the development of adaptive management strategies. To address these questions, I utilize game-theoretical models, socio-economic surveys, and observational data.

I hold a bachelor's degree in environmental science from Sun Yat-sen University in China, a master's degree in international environmental science from Lund University in Sweden and earned my PhD from the Norwegian School of Economics in 2012. Over the past decade, I have worked as a research fellow across several countries in Asia and Europe. After many years abroad, I am delighted to return to my "home region," the East China Sea region, to continue my fishery work.

I research the marine fishery system. I am interested in the integrative quantitative assessment of the fishery system. My work in OIST is to evaluate stakeholder satisfaction in fisheries through bio-socio-economic models. In the model, I will define utilities in the biological and socio-economic models for multiple stakeholder groups and evaluate different management options regarding the resulting stakeholder utilities. Before I came to OIST, my research focused on the socio-economic dimension of the fishery, such as the socio-economic status and occupational mobility of the fishers, text analysis of the fishery policy, and the well-being of the fishery communities. Now, I am trying to combine the biological and socio-economic dimensions in fishery research.

I began my journey in physics at Ferdowsi University of Mashhad, where I developed a strong interest in statistical mechanics and computational modeling. I continued my studies at Sharif University of Technology, focusing on data-driven tools and approaches to study complex systems, one of my main tools being stochastic differential equations. I am now a Research Technician in the Complexity Science and Evolution Unit at OIST, working on linear Moran fitness waves, with a particular focus on understanding the coupled stochastic oscillations in skewness and variance in evolving trait distributions.

I graduated from the University of Tokyo with a bachelor’s degree in agriculture and　from Stockholm Resilience Centre, Stockholm University, with a master’s degree in biology. My specialty is sustainability science, particularly ocean governance, with a consideration of local communities’ values toward nature. Before joining OIST, I was a project assistant for SeaBOS (Seafood Business for Ocean Stewardship), a global initiative between scientists and the world’s largest seafood companies to transform the seafood industry into just and sustainable.

Since joining the CSE unit, I’ve been involved in two projects: the Okinawa fishers’ wellbeing project and the Bio-Socioeconomic Models project. My main tasks have been survey data analysis using factor analysis, structural equation modeling (SEM), and Bayesian network analysis. 

I graduated from ENSAE Paris as a statistician-engineer, with a scientific background in machine learning, theoretical statistics and data science. My scientific interests lie on mathematical modelling, for any phenomenon from economics to biology. My previous work as an RI at the Swiss Tropical and Public Health Institute led me to dive further in epidemiology and modelling disease (especially malaria) and interventions policies in the Analytics and Intervention Modelling group there. My work here in the CSE will focus on mathematically modelling the epidemiological and evolutionary dynamics of disease latency, using adaptive-dynamics theory to understand alternative latency patterns of malaria observed in different parts of the world.

I graduated from the University of Dhaka, Department of Applied Mathematics.
My research interests lie in mathematical modeling and numerical methods. I have developed two novel numerical root-finding methods and am currently working in scientific machine learning (SciML) to solve physical models describing complex systems. In my upcoming internship, I will focus on capturing the spatial behavior of populations using a system of nonlinear integral equations arising from moment-based approximations of spatial logistic dynamics.

I am a postgraduate researcher interested in understanding and modelling complex and multi-agent systems across a wide range of research domains. I graduated with a bachelor’s degree in Mechanical Engineering from Loughborough University, which included a year in industry working in Research and Development. Here I first developed my interest in complex systems, and in my final year of my bachelor’s I modelled drone swarms for use in reforestation. I then obtained a master’s degree in Biological Physics from the University of Manchester. My project involved using laser microscopy to track and simulate the anomalous transport of cells in living organisms.
I joined the Complexity Science and Evolution unit at OIST, applying similar methods in agent-based modelling to investigate the emergence of cooperation and institutions in human society within the context of evolutionary game theory. I moved back to undertake a PhD in Applied Mathematics at the University of Birmingham, where I investigate collective opinion dynamics with a focus on consensus, polarisation, and oscillations. I continue to collaborate with the CSE unit and I am currently at OIST as a visiting research student.

Alex is a PhD candidate at the University of St Andrews, specialising in multisensory interactions and their behavioural benefits, employing EEG and computational modeling techniques. Currently, as a visiting research student at the CSE Unit, he is supporting research on enhancing the realism of game-theoretical models of corruption by considering the possibility of covert corruption.

Aleksandra is a PhD student in Computer Science with a strong passion for artificial intelligence, machine learning, and ecological modelling. Her research interests focus on applying data-driven methods to better understand complex environmental systems. Through both academic and practical experience, she seeks to bridge the gap between data science and ecology, contributing to sustainable solutions and innovative interdisciplinary research

I am currently a final-year student in the dual bachelor’s-master’s program at the Indian Institute of Science Education and Research Thiruvananthapuram, majoring in mathematics with a minor in biology. During my studies, I developed a strong interest in applying mathematical frameworks to biological questions, which piqued my interest in evolutionary epidemiology. Building on this interest, I am currently working at OIST, where I explore how evolutionary processes shape disease dynamics using mathematical modeling. Through this work, I aim to better understand how pathogens adapt and evolve under seasonal pressures.

Dr. Parvinen studied applied mathematics at the University of Turku, Finland, where he completed his master's degree in 1997. He completed his doctoral thesis entitled "Adaptive Metapopulation Dynamics" and received his PhD degree in June 2001. He obtained his habilitation (docent, adjunct professor) in biomathematics in February 2006. In 2012, he completed pedagogical studies for university teachers. He is a permanent university researcher in applied mathematics at the University of Turku. Dr. Parvinen's fields of interest are metapopulations, especially structured metapopulation models, evolution of dispersal and cooperation, and the general theory of adaptive dynamics, including evolutionary suicide and function-valued traits.

Hanae Aoyama is on maternity leave.