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).
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.
Associate Professor in the Department of Wildlife Ecology and Conservation at the University of Florida. Moore Foundation Investigator in Data-Driven Discovery. National Science Foundation CAREER 'Young Investigators' Award recipient. Member of the Data Carpentry and Impactstory boards of directors.
My research focuses on data-intensive questions in ecology, using large ecological datasets, advanced statistical/machine learning methods, and theoretical modeling to understand ecological patterns.
Robert Winkler is Principal Investigator of the Laboratory of Biochemical and Instrumental Analysis at the CINVESTAV Unidad Irapuato and faculty member for the postgraduate programs Plant Biotechnology and Integrative Biology. His research topics include novel mass spectrometry techniques such as low-temperature plasma ionization and covalent protein staining, new approaches in the high-throughput metabolomic profiling of plants, computational mass spectrometry and proteomics.
I develop statistical methodology and software for the analysis of -omics data. I am particularly interested in the regulation of transcription: the molecular mechanism as well as its association with disease.
Jianhua Xu is Professor of Geography and Director of The Research Center for East-West Cooperation in China. He has published 16 books and more than 200 papers. He has worked as the editor of several academic journals, such as Journal of Desert Research, Areal Research and Development, Human Geography, Ecologic Science, Arid Land Geography, Chinese Geographical Science, Journal of Signal and Information Processing, PeerJ, International Journal of Ecology and Ecosolution, etc.
Dr. Wei Xu received his Ph.D. in Biostatistics from University of Toronto. He is currently a scientist and principle biostatistician in Princess Margaret Hospital on clinical research of cancer diseases. He is a faculty member at the Dalla Lana School of Public Health, University of Toronto and on the Editorial Board of the Journal of Medical Statistics and Informatics. Dr. Xu's research interests are statistical genetics and clinical trial design and analysis. He is the author or co-author of over 100 publications in peer-review journals.
Zhi Yang is a Senior Manager in Biostatistics at Bristol Myers Squibb (2021-). She holds a Ph.D. in biostatistics from the University of Southern California. Her research interests include data science, machine learning, genomics, public health, Bayesian inference, and cancer research.
Principal Researcher at Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC), Palma de Mallorca, Spain.
My interest is mainly focus on the application of modelling tools (and especially complex networks theory and data mining) to a wide range of problems, from the air transport to the interactions within cells.
Dr. Qianwen Zhang is an Assistant Professor at Mississippi State University.
Her research is focusing on Organic Agriculture, Biostimulant Application, Controlled Environment Agriculture, Hydroponics, Analytical Chemistry, Food Science, Microbiology, and Sensory Evaluation.
From 2010 to 2012, Dr. Yudong (Eugene) Zhang worked at Columbia University as a postdoc. From 2012 to 2013, he worked as an assistant research scientist at Columbia University and New York State Psychiatric Institute. From 2013 to 2017, he is a full professor and doctoral advisor at School of Computer Science and Technology at Nanjing Normal University. He also serves as the academic leader of the“Jiangsu key laboratory of 3D printing equipment and manufacturing”. At present, he is a Professor in Knowledge Discovery and Machine Learning, in Department of Informatics, University of Leicester, United Kingdom. His research interests focus on computer-aided medical diagnosis and biomedical image processing.