Dr. Yuan Shang works on Alzheimer's Disease (AD) at the University of Arizona. He combines any potential methods and data to search potential therapeutic opportunities for AD. He is an expert on omics data analysis, multi-omics integrations, network-based pattern recognition, and machine learning-based biomarker discoveries.
I am an Associate Professor in Computer and Information Sciences at Northumbria. I received my PhD degree in Mathematics from Shanghai Jiao Tong University. My research interest is in complex networks and systems.
Dr. Dominic Thorrington is Scientific Project Manager at the French healthcare regulator, La Haute Autorité de Santé.
He is an experienced health economist, infectious disease epidemiologist and mathematician, specialising in the modelling of infectious disease outbreaks and evaluating the cost-effectiveness of vaccination strategies.
I am a quantitative ecologist interested in ecological forecasting and the stability of populations, communities, and ecosystems. I have expertise in statistical analyses of ecological systems, population modeling, and the analysis of remote sensing data to address environmental problems.
I am working on Pleistocene mammal extinctions. Co-developer of R packages to download data from open access databases (rAvis and paleobioDB), and team member of www.ecoClimate.org, an open access repository to access climatic data for the past, present and future.
I am Professor of Bioinspired Machine Learning at the Faculty of Engineering, University of Sheffield and the head the Machine Learning group. Prior to my Academic appointment in Sheffield, I was Scientific Collaborator in the groups of Prof. Wulfram Gerstner at the Ecole Polytechnique Fédérale de Lausanne (EPFL) and Prof. Walter Senn at the University of Bern. I hold a PhD in Computer Science and Artificial Intelligence (University of Sussex), a Masters in Microelectronics (University of Athens) and a Bachelors degree (with distinction) in Informatics & Telecommunications (University of Athens). I am a Chartered Engineer, registered with the Engineering Council UK in membership of the Institution of Engineering and Technology.
Dr. Shibiao Wan is currently an Assistant Professor in the Department of Genetics, Cell Biology and Anatomy, and the Co-Director for the Bioinformatics and Systems Biology (BISB) PhD Program at University of Nebraska Medical Center (UNMC). He is also an Assistant Professor (courtesy) in the Department of Biostatistics at UNMC.
With more than 15 years of experience in machine learning, bioinformatics, and computational biology, Dr. Wan has published >60 articles in top-tiered journals such as Genome Research, Nature Communications, Science Advances, Circulation Research, Briefings in Bioinformatics, and Bioinformatics. Dr. Wan is the Editor-in-Chief for Current Proteomics, and an Associate Editor/Academic Editor/Editorial Board Member for a series of prestigious journals such as Briefings in Functional Genomics, Heliyon, BMC Bioinformatics, International Journal of Microbiology, PeerJ Computer Science, BioMed Research International, and Computational and Mathematical Methods, and a guest associate editor for multiple high-impact journals.
He is a Scientific Program Committee (SPC) member for American Medical Informatics Association (AMIA) Annual Symposium and a Technical Program Committee (TPC) member for >20 machine learning related international conferences including IEEE ICTAI. Dr. Wan is also a reviewer for >70 prestigious journals including Nature Biotechnology, Nature Methods, Nature Communications, Nature Computational Science, Science Advances, Nucleic Acids Research, Advanced Science, Cancer Research, Genome Biology, and Genome Medicine. Dr. Wan has received a number of accolades including the Springer Nature Editor of Distinction Award in 2025 by Springer Nature, the New Investigator Award in 2024 by UNMC, the FIRST Award in 2023 by Nebraska EPSCoR, the Outstanding Young Alumni Award in 2022 by HK PolyU as well as the Global Peer Review Awards (top 1%) in “Cross-Field” and “Biology and Biochemistry” in 2019 by Clarivate. Dr. Wan is a member of AACR, AMIA, ISCB and ACM and an IEEE Senior Member.
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.
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.
Professor and Department Chair, Department of Integrative Biology, The University of Texas at Austin. Received his PhD in Theoretical Physics from the University of Bochum, Germany, in 1999. Postdoc at Caltech, 2000-2005.
Dominik Wodarz is Professor in the Department of Ecology and Evolutionary Biology at University of California, Irvine. The subject area of his research is theoretical / mathematical biology, with emphasis on infectious disease, the immune system, cancer, and evolutionary dynamics. His studied Biology at Imperial College, London, and obtained his PhD from the University of Oxford.
Lead Scientist, Koonin Group at the Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health (Bethesda, Maryland).