I am an enthusiastic early career scientist with an interdisciplinary training and a strong computational background. My interests lie in leveraging the information hidden in large-scale omics data for better understanding of the mutational processes causing human cancer, for identifying potential cancer prevention strategies, and for developing novel approaches for targeted cancer treatment.
Sophia Ananiadou (PhD) is Professor in Computer Science at the School of Computer Science, the University of Manchester. She is also Director of the UK National Centre for Text Mining and a founding member of the SIG in BioNLP, ACL.
Since 2014, senior research fellow and lecturer at the Institute of Applied Simulations of the Zurich University of Applied Sciences (ZHAW). Editor of BMC Evol Biol and PLoS ONE. In 2012 edited a book in 2 volumes "Evolutionary Genomics: Statistical and computational methods".
My laboratory is centered on understanding the function(s) of RNAs, especially non-coding RNAs in all aspects of Biology. The long term objective of our work is to understand meiotic silencing in Neurospora and to map its connections with the meiotic silencing observed in other organisms.
B.S. in Molecular Biology, University of Brasilia, 1982
M.S. in Molecular Biology, University of Brasilia, 1986
Ph.D. in Genetics, University of Georgia (Athens), 1992
Postdoctoral Training, University of Wisconsin Madison, 1993
Postdoctoral Training, Stanford University, 1997
Researcher at the Population Genetics and Evolution group at i3S and invited assistant professor at the Faculty of Sciences of the University of Porto. Scientific topics include molecular basis of phenotype-genotype relationships, mechanisms underlying epistatic interactions under the compensatory mutation model, and the dynamics involved in the amino acid substitution at the protein structural level.
Professor of Genetics and Deputy Head of the Department of Genetics, Ecology and Evolution. He is a member of the Brazilian Academy of Sciences and is a Knight of the National Order of Scientific Merit of the Brazilian Ministry of Science, Technology and Innovation. Researcher 1A of the National Council for Scientific and Technological Development (CNPq) which is the highest position.
I am a Professor and Chair, Department of Microbiology and Immunology, Faculty of Pharmacy, Cairo University, Egypt. I am interested in microbiome research, pharmacomicrobiomics, evolution and emergence microbial pathogenesis and resistance, microbial and phage genomics, antibiotic resistance surveillance, adaptive laboratory evolution, metabolic reconstruction and pathway gap filling, and virulence gene discovery.
Jaume Bacardit is a Senior Lecturer in Biodata Mining at Newcastle University. His research is focused on the development of machine learning methods for complex, and large-scale datasets, and the application of these to biological/biomedical problems.
Jürg Bähler is a Professor of Systems Biology at University College London. His laboratory studies genome regulation during cellular proliferation, quiescence, and ageing using fission yeast (Schizosaccharomyces pombe) as a model system. They apply multiple genetic, computational and genome-wide approaches for systems-level understanding of regulatory processes and complex relationships between genotype, phenotype, and environment, including roles of genome variation and evolution, transcriptome regulation, and non-coding RNAs.
Jürg Bähler is an elected Member of the European Molecular Biology Organisation (EMBO) and a Fellow of the Royal Society of Biology, and he received a Wellcome Trust Senior Investigator Award and a Royal Society Wolfson Research Merit Award.
I am Director of the Computational Bioscience Research Center and Professor in the CEMSE Division at KAUST. I joined KAUST in May 2009. Before that time I was a Professor of Bioinformatics, as well as Acting and Deputy Director of the South African National Bioinformatics Institute (SANBI) at the University of the Western Cape in South Arica. I worked in industry and several academic and research institutions in several countries, including Vinca Nuclear Science Institute in Serbia and the Institute for Infocomm Research (I2R) in Singapore, where I was head of the Knowledge Extraction Laboratory. I extensively published across several fields and designed many bioinformatics tools and resources. My work in modeling and artificial intelligence has resulted in several promoter recognition tools and a knowledge discovery platform that found commercial applications. More than 60 master and doctoral students have graduated under my supervision. I am an elected member of the Academy of Nonlinear Sciences in Russia, and while in South Africa I was a registered professional engineer. For my bioinformatics work, I was awarded the first South African National Research Chair (Tier 1) in Bioinformatics and Human Health. My graduate degree in electrical engineering and master’s degree in electrical engineering sciences I earned from the University of Belgrade in Serbia, followed by a doctorate of engineering sciences in electrical engineering from the University of Zagreb in Croatia.
Burcu Bakir-Gungor received her B.Sc. degree in Biological Sciences and Bioengineering from Sabanci University; her M.Sc. degree in Bioinformatics from Georgia Institute of Technology; and her PhD degree from Georgia Institute of Technology/Sabanci University. She worked at the Bioinformatics Research Center, Medical College of Wisconsin, from 2007-2009. From 2009 to 2011, she worked at the Department of Computer Engineering, Bahcesehir University. Then, she worked as an Assistant Professor at the Department of Genetics and Bioinformatics, at the same university. From 2012 to 2013, she was part of the Advanced Genomics and Bioinformatics Research Center, UEKAE, BILGEM, TUBITAK. Now, she works as an Assistant Professor at the Department of Computer Engineering at Abdullah Gul University. She is the recipient of “Best Paper” award at the 4th EvoBIO Conference; and a member of the advisory board of the Turkish Genome Project. She is an editorial board member of PeerJ journal; the reviewer of several prestigious international journals including Bioinformatics, Machine Learning, Journal of Computational Biology; and she is the Technical Program Committee member of UBMK and HIBIT conferences. Her research interests include bioinformatics, computational genomics, network and pathway oriented analysis of genome-wide association studies and next-generation sequencing datasets; and applications of machine learning, data mining and pattern recognition in bioinformatics.