Advisory Board and Editors Computational Biology
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.
Łukasz Jaremko
Dr. Łukasz Jaremko is Associate Professor at King Abdullah University of Science and Technology.
Research in Dr. Jaremko's Molecular Diagnostics and Drug Discovery (MD3) group focuses on atomic-level insight into essential and topical questions from biochemistry and medicine.
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.
Mikko Karttunen
Canada Research Chair (Tier 1) in Computational Materials and Biomaterials Research and Professor of Chemistry & Applied Mathematics at the University of Western Ontario. Leader of the Computational and Theoretical Biological Physics & Chemistry Group. Affiliate of the Perimeter Institute for Theoretical Physics at Waterloo.
Selected Awards: Ontario Early Reseachers Award, NSERC Discovery Accelerator, EU DEISA Extreme Computing, Distinguished Research Professor, Academy of Finland Fellowship
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.
Hossein Khiabanian
Hossein is an Associate Professor of Pathology in the Division of Medical Informatics at Rutgers Cancer Institute of New Jersey. His group develops novel analytical methods to understand the underlying genetics of human diseases and the molecular epidemiology of disease-causing organisms using high-throughput genomic data. The group is especially interested in studying tumor clonal evolution, and identifying prognostic markers in cancer, particularly in hematological malignancies. Hossein received his Ph.D. in Physics from Brown University, where he studied galaxy clusters and dark matter structures, using weak gravitational lensing. Prior to joining Rutgers, he was a member of the faculty in the Department Biomedical Informatics at Columbia University.
Elizabeth G King
Assistant Professor of Biological Sciences, University of Missouri. The goal of our research is to explain the diversity of life history strategies among organisms. We primarily, though not exclusively, use insect model systems for our research.