Professor in Bioinformatics, Biology Department, Miami University, Ohio, USA
Assistant Professor, Department of Biological Sciences, University at Buffalo 2010-present; Postdoctoral Fellow/Research Associate, University of Oslo 2003-2008; PhD, University of Copenhagen 2003.
Feng Liu received his Ph.D. degree from the School of Life Science and Technology, University of Electronic Science and Technology of China and went on to work in the Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, China. Now he is a professor and his current research interests include Brain and Cognition, Magnetic Resonance Imaging, Imaging Genetic and Multivariate Pattern Analysis.
Current research focuses on investigating the impact of the environmental factors (e.g., green space, PM2.5, etc) on human brain measured by magnetic resonance imaging.
Homepage: https://fengliu001.github.io/
Nick works as an Independent Research Fellow in the Institute for Microbiology and Infection at the University of Birmingham, sponsored by an MRC Fellowship in Biomedical Informatics. His research explores the use of cutting-edge genomics and metagenomics approaches to the diagnosis, treatment and surveillance of infectious disease. Nick has so far used high-throughput sequencing to investigate outbreaks of important pathogens such as Pseudomonas aeruginosa,Acinetobacter baumannii and Shiga-toxin producing Escherichia coli. His current work focuses on the application of novel sequencing technologies such as the Oxford Nanopore for genome diagnosis and epidemiology of important pathogens, including most recently real-time surveillance of the Ebola outbreak in West Africa. A more general aim is to develop bioinformatics tools to aid the interpretation of genome and metagenome-scale data in routine clinical practice in collaboration.
I am a Professor of Bioinformatics and Genomics at UNC Charlotte.
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.
Faculty member at the Department of Bioinformatics and Genomics, College of Computing and Informatics, UNC Charlotte.
Research areas include: High throughput genomic data analysis Computational method development and implementation Systems biology on complex diseases and processes Biomedical informatics and computing Personal genome and personalized medicine
Associate Professor at the Medical University of Innsbruck, Austria. Our work includes the study of chromatin modulating factors in Drosophila and mouse and the analysis of posttranscriptional modifications on RNA.
Emiliano Maiani earned his MS and PhD in Molecular and Cellular Biology at the University of Rome “Tor Vergata”, Rome, Italy. In 2013, he joined the Cell Stress and Survival laboratory headed by prof. Francesco Cecconi at the Danish Cancer Society Research Center (DCRC), Copenhagen, Denmark. At the end of 2017, he moved for a second postdoc at the Computational Biology Laboratory headed by Elena Papaleo at the DCRC, Copenhagen. In this period, he expanded his knowledge to computational and structural biology. His research is focused on cancer biology and in particular in autophagy and DNA damage response pathways.
Thulani Makhalanyane is an Associate Professor in the Department of Biochemistry, Genetics and Microbiology and undertakes research at the Centre for Microbial Ecology and Genomics. His research has focused almost entirely on understanding the ecology of microbial communities in extreme environments.
Safarina G. Malik is a Principal Investigator at the Genome Diversity and Disease Division of the Mochtar Riady Institute for Nanotechnology, Tangerang, Banten, Indonesia, since January 2022. From 2011 to 2021 she lead the Lifestyle Diseases Research Group at the Eijkman Institute for Molecular Biology, Jakarta, Indonesia. Her key research topics and expertise include genetic diversity, microbiome, mitochondrial genetics and dysfunction, medical genetics, lifestyle disease association, nutrigenetics-nutrigenomics, population genetics and evolution.
Professor of Plant Biology and member of the Genome Center, University of California, Davis.
Elected Fellow, AAAS
Postdoctoral training at The Salk Institute. Doctoral Training at UCSF