Advisory Board and Editors Computational Biology
Carla N Mavian
My research aims at understanding the eco-evolutionary pathways that lead to emergence and dispersal of zoonotic and human pathogens, with emphasis on land use and climate change, within the One Health approach. I employ genomics, metagenomics and phylodynamics as tools to elucidate the evolutionary processes and population dynamics that shape viral genetic diversity both at the inter-host (epidemics) and in intra-host level (individual infections).
Ryan E Mills
Assistant Professor in the Department of Computational Medicine and Bioinformatics and the Department of Human Genetics at the University of Michigan.
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.
Bálint Molnár
Dr. Bálint Molnár is an Associate Professor and Lecturer within the Department of Information Systems at Eötvös Loránd University, Budapest, Hungary.
His research interests include, but are not limited to, Formal, mathematical-based models for designing, modeling, and validating information systems; Application of data science methods to solve data, function, and process integration issues of enterprise management and health information systems. Enterprise, organizational, business, information systems architecture, and application of formal models.
Christopher J Mungall
I am a Computer Research Scientist in the Environmental Genomics and Systems Biology division at Lawrence Berkeley Laboratory. My work focuses on computational methods for representing and interpreting complex biological data, in particular through the development and application of knowledge representation structures such as ontologies.
Catherine E Myers
Dr. Myers joined the Neurobehavioral Research Lab at VA NJHCS in 2009 and joined NJMS as a Professor in 2011. Her research interests focus on understanding the brain substrates of learning and memory, using techniques including computational neuroscience and human experimental neuropsychology.
She has authored and co-authored over 100 peer-reviewed scientific articles and several books including the undergraduate-level textbook “Learning and Memory: From Brain to Behavior.”
Sushma Naithani
Sushma Naithani is an Associate Professor Senior Research in the Department of Botany and Plant Pathology at Oregon State University, USA. The current focus of her research is on understanding information flow in living systems and how evolution shapes this flow using systems-level pathway modeling supported by high-quality biocuration, gene-orthology-based predictions, and analysis of omics data. She serves as a senior curator for the Plant Reactome knowledgebase. Sushma has authored 31 peer-reviewed refereed research articles in high-impact journals, including Nature, Nature Biotech, PNAS, etc. One of her research papers has been selected by the 'Faculty of 1000 Biology'. In addition, she has authored six book chapters and one Open Textbook (S. Naithani (2021): History and Science of Cultivated Plants published by Oregon State University Open Educational Resources, EBOOK ISBN: 978-1-955101-08-0, available at https://open.oregonstate.education/cultivatedplants). She is also an Associate Editor for Frontiers in Plant Science-Plant Biotechnology and served as the Editor-in-chief of the Current Plant Biology (2017-2023).
Hamed S. Najafabadi
Assistant Professor of Human Genetics at McGill University, Canada Research Chair in Systems Biology of Gene Regulation. Studying the mechanisms of transcriptional and post-transcriptional gene regulation and their role in human diseases.
Rafael J Najmanovich
Associate Professor, Systems & Structural Computational Pharmacology. University of Montreal, Canada. Postdoc EMBL-EBI. PhD Physics & Biology, Weizmann Institute of Science, Israel. MSc Statistical Biological Physics & BSc. Molecular Sciences, University of São Paulo, Brazil.
Kenta Nakai
Professor of Human Genome Center, the Institute of Medical Science, the University of Tokyo, Japan. Editor of DNA Research and Mathematical Biosciences. Former president of the Japanese Society of Bioinformatics.
Helder Nakaya
Prof. Helder Nakaya is Deputy Director of School of Pharmaceutical Sciences at University of São Paulo, Brazil, Associate Professor at University of São Paulo, Brazil, and Adjunct Professor of the School of Medicine, Emory University, USA. He has a PhD in Molecular Biology with extensive training in Bioinformatics. He is an expert in Systems Vaccinology, an interdisciplinary field that combines systems-wide measurements, networks, and predictive modelling in the context of vaccines and infectious disease. Dr. Nakaya has developed systems biology approaches to understand and predict the mechanisms of vaccine induced-immunity for Yellow Fever, seasonal Influenza, Meningococcal, and Tularemia vaccines. His lab is focused on investigating the basis of infectious diseases using computational systems biology.