Advisory Board and Editors Statistics
Alban Kuriqi
Interested in interdisciplinary research, scientific writing, science communication, teaching, and offering consultancy for the industry. My core research interests and expertise include renewable energy—focusing on hydropower and complementarity resources, hydropower impacts, river restoration and management, e-flows, floods, droughts, climate change, fluvial hydraulics, sediment transport in open-channel flows; embankment structures; hydraulic structures; Sustainable Drainage Systems (SuDS), long-term meteorological and hydrologic trends and variability analysis, ecohydraulics, ecohydrology, and artificial intelligence applications in the field hydraulics and hydrology.
Benjamin H Letcher
Ben Letcher is a quantitative stream ecologist working at the interface of field studies and mathematical models of population and evolutionary dynamics. My group is combining information from long-term intensive studies of stream fish with extensive studies to develop broad scale models of population response to environmental change.
David Levine
David Levine, PT, PhD, DPT, Diplomate ABPTS, CCRP, Cert. DN
Dr. Levine is a Professor and the Walter M. Cline Chair of Excellence in Physical Therapy at the University of Tennessee at Chattanooga. He is an adjunct professor at the University Of Tennessee College Of Veterinary Medicine and North Carolina State University College of Veterinary Medicine. In addition, he is board certified as a specialist in orthopedics by the American Board of Physical Therapy Specialties and is also certified in dry needling. Dr. Levine has been working and conducting research in many areas with an emphasis in veterinary physical rehabilitation and is co-director of the University of Tennessee certificate program in canine rehabilitation. He is a co-editor of multiple books including “Canine Rehabilitation and Physical Therapy”, “Essential Facts of Physiotherapy in Dogs and Cats”, and Gait Analysis: An Introduction. He continues to practice in canine rehabilitation and human physical therapy in addition to his University position. He has presented at over 100 conferences, and has lectured in more than a dozen countries. Dr. Levine has published in numerous peer-reviewed journals with over 75 publications. His latest research focuses on bacterial contamination in medical equipment, animal assisted therapy, and laser to improve muscle endurance.
Xing Li
Dr. Xing Li is an Assistant Professor and Associate Consultant in the Division of Biomedical Statistics and Informatics, Department of Health Science Research at Mayo Clinic - voted the best hospital by U.S. News & World Report. Dr. Li completed his PhD in Bioinformatics from The University of Michigan at Ann Arbor, Michigan, USA. Dr. Li also holds a Masters Degree in Biochemistry and Molecular Biology and Bachelors Degree in Microbiology. Dr. Li’s research interests focus on machine learning, bioinformatics, and statistical data mining in large scale data in biomedical research, such as next generation sequencing data (whole genome sequencing, RNA-seq, microarray data), in the file. He has published more than 20 peer-reviewed papers in reputable journals and book chapters in the fields of Bioinformatics and Biostatistics, cancer research, cardiovascular disease, embryonic stem cell (ESC) and induced pluripotent stem cell (iPSC) research, and human genomics, genetics and development, and Microbiology. Dr. Li’s publications have been highlighted as Journal Cover Stories, Journal Featured Articles, Highlights Section Papers, Must Read by Faculty 1000, and ESC & iPSC News, etc. Dr. Li has been developing data analysis tools, such as RCircle and PCA3d, etc. Dr. Li is also a member of American Association for Cancer Research (AACR), International Society for Computational Biology (ISCB), American Statistics Association (ASA) and American Heart Association (AHA).
Jingyi Jessica Li
I am an Assistant Professor in the Department of Statistics and Department of Human Genetics at University of California, Los Angeles. I am also a faculty member in the Interdepartmental Ph.D. Program in Bioinformatics and a member in the Jonsson Comprehensive Cancer Center (JCCC) Gene Regulation Research Program Area. Prior to joining UCLA, I obtained my Ph.D. degree from the Interdepartmental Group in Biostatistics at University of California, Berkeley, where I worked with Profs Peter J. Bickel and Haiyan Huang. I received my B.S. (summa cum laude) from Department of Biological Sciences and Technology at Tsinghua University, China in 2007.
Carole A Lunny
Carole Lunny is a postdoctoral fellow at the Cochrane Hypertension and Therapeutics Initiative, at the University of British Columbia, in Vancouver, Canada. Carole Lunny is a PhD graduate from Cochrane Australia, Monash University (June of 2018). Carole’s research interests involve methodological issues in conducting, interpreting, and reporting "overviews of systematic reviews".
Carole's PubMed publications can be found here: https://www.ncbi.nlm.nih.gov/pubmed/?term=lunny+c%5Bauthor%5D
She can be found on twitter @carole_lunny
She worked as a researcher and statistical analyst on systematic reviews and meta-analyses, randomised control trials, and observational studies. She has worked for international development organisations in the US, Canada, Singapore, Myanmar, Thailand and Mexico, including the Unites Nations Development Fund, UNICEF, and the International Union for Lung Diseases and Tuberculosis.
Carole's main research Interests: Research methodology, reporting guidelines for overviews of reviews, assessment of risk of bias of studies, publication bias, reviews of methods studies, evaluation of methods studies, overviews of systematic reviews methods, systematic reviews, Cochrane methods
ORCID ID: 0000-0002-7825-6765
Gerton Lunter
My group is interested in investigating the processes of evolution and biology using computational methods. We apply machine learning methods (HMMs, Bayesian statistics, particle filters, deep learning) to large data sets to study for example human demographic history or non-coding functional elements in the genome.
Weiqi Luo
With a B.Sc. in Mathematics and Applied Mathematics from the University of Shantou, China (2003), a M.Sc. in Data Analysis, Network and Nonlinear Dynamical System from the University of York, UK (2004), and a Ph.D. in Statistics from the University of Leeds, UK (2008), Dr. Luo has gained extensive knowledge& experience in applied mathematics and statistics, computer simulations & forecasting, dynamic system and high-dimensional data analysis, to study disease dispersal and mitigation on a multinational scale. He has worked several years as biostatistician at The Food and Environmental Research Agency (UK) before beginning research in Florida (2011) as collaborated research scholar in NCSU and visiting scientist USDA. He played a key role in a wide range of multidisciplinary projects including, but not limited to, risk-based survey of HLB/ACP in FL, CA, TX and AZ, Plum Pox Virus (PPV) survey in NY and CA, Census travel modelling, agent-based disease simulation, GIS disease mapping and Aerial image processing.
Brendan P Malone
My research focus is in using quantitative methods to precisely understand how soils function and change- spatially, and through time.
I research methods for comprehensive digital soil mapping aiming to characterize soil both in the lateral and vertical dimensions.
I research methods for quantifying (and validating) measures of uncertainty for these comprehensive soil information systems.
I investigate innovative systems for soil measurement, which includes that associated with remote and proximal and soil sensing instrumentation. I have particular interest in infrared and x-ray spectroscopy.
Fernando Mata
Dr. Fernando Mata has an academic background in Agronomy and Animal Production at the Technical University of Lisbon, Portugal, where he also completed his postgraduate studies in Applied Maths. In addition, Dr. Mata completed his postgraduate studies in Pedagogy for Higher Education at The University of the West of England, UK. The skills gained while studying Maths and Animal Science led to him becoming an Animal Welfare Epidemiologist, the topic of his Doctorate in Veterinary Sciences at Anglia Ruskin University, Cambridge.
Professionally, he began his career as a dairy farmer and later moved into academia. He has lecturing experiences both in Portugal (Polytechnic Institute of Portalegre) and in the UK (University of the West of England, Newcastle University, Greenwich University and Wrexham Glyndwr University).
Currently, Dr. Mata is fully focused on research at the Centre for Research and Development in Agrifood Systems and Sustainability in the Polytechnic Institute of Viana do Castelo Portugal. Fernando has Fellowship of the Higher Education Academy, is a Registered animal Scientist with the British Society of Animal Science and is a Certified Biologist with the Royal Society of Biology. Apart from Animal Welfare Epidemiology, Fernando is interested in Animal Production, and Animal Performance in general.
David Meyre
David Meyre completed a PhD in quantitative plant genetics in France. Since 2001, he has been working on the elucidation of the genetic bases of obesity and type 2 diabetes. In 2004, he published the first family-based genome-wide scans for childhood and severe adult obesity. He completed the two first successful positional cloning efforts for childhood and severe adult obesity, which identified the positional candidate genes ENPP1 and PCSK1. In 2007, he contributed to the identification of the major susceptibility gene for polygenic obesity FTO. In 2009, he published the first genome-wide association study of extreme obesity in the French population and identified four novel susceptibility-loci. In 2010, he conducted the first genome-wide association meta-analysis for early-onset extreme obesity in German and French populations. In 2012, he identified the third more common form of monogenic obesity (PCSK1 partial deficiency) and demonstrated an important role of the lipid sensor GPR120 in human obesity. He also discovered the first molecular link between obesity and major depression. In 2013, he discovered a novel gene (SIM1) responsible for a syndromic Mendelian form of childhood obesity. In 2016, he discovered that physical activity can blunt the effect of the obesity predisposing gene FTO in diverse ethnic groups. He also demonstrated that genes can predict the outcomes of different types of bariatric surgery.
Dezső Módos
I am a medical doctor and a systems biologist. During my scientific carrier, I have tried to understand diseases and find novel approaches to treat them with drugs, whether it is cancer or UC. I finished the Semmelweis University Doctor of Medicine course on 2012 and then started my PhD in network biology. I was involved in developing multiple biological network databases transcription factor-target layers such as SignaLink, AutophagyRegulatory Network or the NRF2Ome. My main project was to understand signalling networks in cancer and how the different paralogues of a protein can act in the signalling network.
Since then I have been a Postdoctoral Research Associate at Cambridge University, where my main focus was how can we use networks to predict mechanisms of action of compound combinations. I used various chemical informatics techniques besides network biology such as chemical fingerprints, machine learning and gene expression-based toxicity prediction.
Currently, I am working at the Earlham Institute and Quadram Institut in Norwich researching inflammatory bowel disease and using network biology to decipher the pathogenesis of complex disorders.
I have recently moved to Imperial College, London to go through the therapeutic celling in IBD using systems biology.