Advisory Board and Editors Population Biology
Dapeng Wang
Dr Dapeng Wang is a Senior Bioinformatician in Integrative Analysis at the COMBAT consortium at the University of Oxford using multi-omics techniques in combination with the cutting-edge bioinformatic approaches and statistical methods to explore the pathogenesis of COVID-19 and stratification of patients as well as inform the treatment strategy based on genomics information.
Dr Wang received a bachelor’s degree in mathematics from the Shandong University in 2006 and obtained a PhD degree in bioinformatics from the Beijing Institute of Genomics of the Chinese Academy of Sciences in 2011. After his graduation, he continued to conduct research at the same institute from 2011 to 2014 and afterwards moved to the UK to take up various roles at the Cancer Institute at the University College London (2014-2016), the Department of Plant Sciences at the University of Oxford (2016-2018) and the LeedsOmics at the University of Leeds (2018-2020).
Eric J Ward
I’m a statistician / quantitative ecologist at the Northwest Fisheries Science Center (NOAA) in Seattle and an affiliate professor at the School of Aquatic and Fishery Sciences (SAFS) at the University of Washington. I work on a wide range of statistical problems – population dynamics, extinction risk, conservation genetics, fisheries stock assessment, reproductive success studies, etc. Most of the species I study are fish, but I also work with data from marine mammals, seabirds, and turtles. Much of my recent modeling interests have been pursuing applications of multivariate state-space time series and spatio-temporal models, isotope mixing models, and Bayesian model selection techniques.
Easton R White
I am a quantitative marine ecologist who uses mathematical and statistical tools, coupled with experiments and field observations, to answer questions in ecology, conservation science, sustainability, and ecosystem management. Most of my work is focused on marine systems, especially fisheries and spatial planning. I am a new Assistant Professor in the Department of Biological Sciences at the University of New Hampshire. Prior to joining UNH, I was a research associate at the University of Vermont with the QuEST program, a NSF-funded PhD traineeship focused on quantitative skills, interdisciplinary work, as well as diversity and inclusion.
I currently conduct research on assessing the effectiveness of protected area networks, improving species monitoring programs, and modeling socio-ecological systems in the context of fisheries. My work centers on how environmental variability, in particular rare events (e.g., hurricanes, COVID-19 pandemic), affects ecosystems and those that depend on them. My current work is funded through a NSF grant focused on interdisciplinary approaches to study coupled natural-human systems with Madagascar fisheries as a case study.
Matteo Zucchetta
Matteo Zucchetta obtained his PhD thesis entitled "Habitat distribution models for the management of fishery and conservation concern species in lagoon environment” at the University Ca’ Foscari Venice (Italy). He has previously covered the position of researcher University Ca’ Foscari Venice (Department of Environmental Sciences, Informatics and Statistics) and at the National Centre for Coastal Zone Protection and Characterization, Marine Climatology and for Operational Oceanography of the Italian Institute for Environmental Protection and Research (ISPRA). Since 2020 he is a researcher of the Institute of Polar Sciences of the National Research Council of Italy. His work was carried out in the framework of different EU and Italian projects, and his main research topics are: 1) analysis of the spatial distribution of plant and animal species in coastal and transitional water bodies; 2) Community ecology in transitional water ecosystems; 3) Use of fish fauna assemblages as indicators of ecosystem ecological status; 4) Ecological models for food webs analysis; 5) Climate changes effects on aquatic ecosystems.