Advisory Board and Editors Bioinformatics
Jose MG Izarzugaza
Associate Professor at the Technical University of Denmark (DTU). As a senior scientist in Prof. Søren Brunak's group at the Center for Biological Sequence Analysis (CBS), I have a profound interest in different aspects of next generation sequencing (NGS) data analysis. This covers a broad spectrum of scenarios and applications. Actively involved in the Genome Denmark initiative, with two main goals: to assemble and annotate the first draft of the Danish reference genome and to identify viruses driving cancer. Other current projects include the prediction of the pathogenicity of mutations in the protein kinase superfamily for the TCGA/ICGC Pancancer initiative.
Christof M Jäger
I am a computational chemist and data scientist and group leader at AstraZeneca. My research activities all share the motivation to bring the power of computational chemistry to new chemical problems in pharmaceutical research and beyond, to fundamentally understand properties and functions of organic molecules, to reveal hidden chemical questions and to promote solutions for chemical challenges and focus on the development and application of efficient and transferable computational techniques and workflows.
Past and present research involved multi-disciplinary research in the areas of reactivity prediction, catalysis, biotechnology, bio-organic, colloid, and radical chemistry, molecular self-assembly and supramolecular chemistry, ion effects, and molecular electronics in organic electronic devices.
Following my undergraduate studies of Molecular Science I received my PhD in Computational Chemistry from the University of Erlangen-Nuernberg, Germany in 2010. I then worked as a Postdoc for the Cluster of Excellence Engineering Advanced Materials (EAM) until 2014, when I joined the Sustainable Process Technology (SPT) Research Group in in the Faculty of Engineering of the University of Nottingham, first as an EU and UoN funded fellow, then as Assistant Professor in Biotechnology and Computational Chemistry. In September 2022 I joined AstraZeneca in Gothenburg / Sweden to work in predictive computational chemistry and data science within the Pharmaceutical Science department.
Mukesh Jain
Dr. Mukesh Jain is presently associated with Jawaharlal Nehru University, New Delhi, as Professor. Before this, he served at the National Institute of Plant Genome Research, New Delhi as Staff Scientist. Dr. Jain’s research interests include understanding the transcriptional and epigenetic regulation of abiotic stress responses and seed development using advanced state-of-art multi-omics technologies.
Shalu Jhanwar
Dr. Jhanwar’s research interests lie at the interface of epigenomics, genomics, bioinformatics, and machine learning. She has extensive experience in plant and animal sciences, development biology, and cancer genomics and epigenomics. She has developed machine learning-based tools and bioinformatic analysis pipelines integrating genomic and epigenomic information. In the past, she has identified biomarkers differentiating wild and cultivated varieties of plants using comparative genomic approaches. Upon integrating transcriptomics and chromatin accessibility, presently she is studying the regulatory dynamics underlying structural diversity during organogenesis.
Yaochu Jin
Professor of Computational Intelligence, University of Surrey, UK, Finland Distinguished Professor, Jyvaskyla, Finland, Changjiang Distinguished Professor, Northeastern University, China. Vice President for Technical Activities, IEEE Computational Intelligence Magazine, IEEE Distinguished Lecturer.
Charles D Johnson
Dr. Johnson earned his BS and PhD from Texas A&M University, with an intermediate MS degree from Clemson University. He completed a postdoc at the University of Louisville, leading to his role as associate director of bioinformatics for the Center for Genetics and Molecular Medicine at the same institution. He played a foundational role in creating the statistics and bioinformatics division at Ambion/Asuragen Inc. Following this, Dr. Johnson founded BioMath Solutions LLC, a bioinformatics-focused startup specializing in software development for genomic technology firms.
Presently, Dr. Johnson serves as the Director of Genomics and Bioinformatics Service at Texas A&M AgriLife.
Goo Jun
I am currently an assistant professor at the University of Texas Health Science Center at Houston. I work on statistical genetics, computational biology, bioinformatics, and sequence data analysis. With backgrounds in machine learning and data mining, my research is focused on development of computational and statistical methods for analysis of massive data to understand genetics and biology of complex traits. I have been working on the analysis of large-scale next-generation sequencing data, for which I developed statistical models and software pipelines for detecting sample contamination, variant discovery, machine-learning based variant filtering, and genotyping of structural variations. I also work on genetics of diabetes, obesity, and related traits and study of metabolomic and microbiome compositions related to genetics of common and complex traits.
Bishoy Kamel
I am currently a scientist at the Joint Genome Institute at Lawrence Berkeley National Laboratory. Working on a diversity of topics, including evolution, genomics, metabolic modeling, host-parasite interactions, and biosurveillance.
Natarajan Kannan
Dr. Natarajan Kannan is Professor of Biochemistry & Molecular Biology at the Institute of Bioinformatics, University of Georgia.
Dr. Kannan's research group is an interdisciplinary research group using concepts and techniques from diverse disciplines including biophysics, biochemistry, and bioinformatics to understand how proteins, the molecular machines of life, work. Their current efforts are focused on protein kinases, a large and diverse family of enzymes that propagate cellular signals through the controlled phosphorylation of protein and small molecule substrates. They are additionally exploring other enzyme superfamilies, such as glycosyltransferases, critical in protein folding and metabolic pathways. They use a combination of computational and experimental approaches to understand how natural sequence variation contributes to functional variation in these enzyme superfamilies, and how non-natural variation contributes to disease.
Ravi Kant
Ravi Kant is an Associate Professor (Docent) of Medical Microbiology, working at Department of Virology & Department of Veterinary Biosciences, University of Helsinki with background in IT, NGS, genomics, bioinformatics and veterinary microbiology.
Lydia E Kavraki
Lydia Kavraki received her B.A. in Computer Science from the University of Crete in Greece and her Ph.D. in Computer Science from Stanford University. Her research contributions are in physical algorithms and their applications in robotics as well as in computational structural biology and biomedciine. Kavraki is the recipient of the ACM Grace Murray Hopper Award; a Fellow of ACM, IEEE, AAAS, AAAI, and AIMBE; and a member of the Institute of Medicine of the National Academies.
Clement Kent
Dr. Clement Kent is a an Adjunct Professor at York University, Toronto, Canada. He has prior background math and computing; but since 2005 his research interests have focused on behavioral genetics and genomics, for both fruit flies and social insects, primarily honeybees, as well as conservation of pollinators.