Advisory Board and Editors Genomics
Ming Hu
Dr. Hu is currently an Assistant Staff in the Department of Quantitative Health Sciences, Lerner Research Institute at Cleveland Clinic. He is also an Assistant Professor (non-tenure track) in the Department of Medicine at Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, an Associate Member of Molecular Oncology Program at Case Comprehensive Cancer Center, and a joint faculty member of Institute for Computational Biology at Case Western Reserve University School of Medicine. Dr. Hu received his B.S. degree in Statistics from University of Science and Technology of China in 2006 and Ph.D. degree in Biostatistics from University of Michigan in 2010. He was a postdoctoral fellow in Dr. Jun S. Liu’s group in Department of Statistics at Harvard University from 2010 to 2013. He jointed the Department of Population Health, Division of Biostatistics at New York University School of Medicine in 2013. In 2016, he moved to his current position in Cleveland Clinic. Dr. Hu has more than 10 years of experience in statistical modeling and statistical computing with applications in statistical genetics and genomics. Recently, his research is focused on genome-wide mapping and analysis of chromosome spatial organization. Dr. Hu has published more than 60 peer-reviewed research papers covering statistics, bioinformatics, statistical genetics and computational biology.
Jacob J Hughey
I’m an Assistant Professor of Biomedical Informatics and Biological Sciences at Vanderbilt University. My group's research is centered around developing and applying computational methods to large, noisy datasets in order to quantify, model, and understand dynamic biological systems. We are particularly interested in the mammalian circadian system.
Matt I Hutchings
Professor of Molecular Microbiology at the University of East Anglia which is on the Norwich Research Park, Norwich UK.
Lilia M Iakoucheva
Assistant Professor in the Department of Psychiatry at the University of California San Diego, USA. Currently investigates the molecular basis of neurodevelopmental and psychiatric diseases using genomic and systems biology approaches.
Dr. Iakoucheva’s research focuses on understanding of the molecular basis of autism and schizophrenia using systems biology approaches. The aim is to discover functional protein interaction networks connecting seemingly unrelated candidate genes for psychiatric diseases. Dr. Iakoucheva’s lab is building comprehensive protein-protein interaction networks for autism and schizophrenia candidate genes and their splicing isoforms. In addition, they are integrating gene expression data with our experimentally derived networks to understand spatio-temporal dynamics of protein interactions in the brain. Their immediate goal is to investigate perturbations of the disease networks by the Copy Number Variants (CNVs) and protein-damaging Single Nucleotide Variants (SNVs) identified in the patients using the Whole Exome Sequencing (WES) studies. Additionally, they are interested in interpreting non-coding genetic variation with relevance to psychiatric diseases. They are investigating functional impact of UTR, promoter and splice site mutations identified in the Whole Genome Sequencing (WGS) studies of autism and schizophrenia using in vitro cellular systems.
Mohammad Irfan
Dr. Mohammad Irfan is a plant biologist having research interests in abiotic stress biology of crop plants particularly horticultural crops. During his doctoral and postdoctoral projects, he studied the fruit quality traits affected by abiotic stresses. In his current projects, he investigates the molecular mechanism underlying plant-specialized metabolic pathways and biosynthesis of high-value phytochemicals, such as anthocyanins and carotenoids of horticultural crops under abiotic stresses using transcriptomics, metabolomics, glycomic and functional genomic approaches.
Lakshminarayan M Iyer
I received my PhD in plant virology and pursue problems in evolutionary biology. My primary research contributions and interests are in the fields of protein evolution and classification, genome evolution, protein biochemistry and functional predictions, and organismal biology.
Main areas of research:
* Protein evolution and classification.
Identifying trends in genome evolution.
* Prediction of novel biochemical activities and biological functions of proteins.
* Using comparative sequence and genome analysis to make inferences on organismal biology
* Understanding the forces of evolution that shape protein domain diversity.
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.
Rodolfo Jaffé
I`m interested in inter-disciplinary approaches, comprising population and community ecology, genomics and spatial statistics, to understand how the alteration of natural habitats influences biodiversity and the provision of ecosystem services.
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.
Nicholas W Jeffery
Aquatic science biologist at the Bedford Institute of Oceanography, Department of Fisheries and Oceans Canada; Adjunct Faculty, Department of Integrative Biology, University of Guelph; PhD from the University of Guelph in Integrative Biology.
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.
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.