Advisory Board and Editors Genomics
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.
Christine Josenhans
Christine Josenhans is Professor for Microbiology and Medical Microbiology at Max von Pettenkofer Institute of Ludwig Maximilians University Munich and an infectious disease specialist. Until 2017, she was Associate Professor at Hannover Medical School, Germany, also in the field of infection research and molecular and cellular microbiology. Her research foci are on infectious disease agents in general, with specialization in microbiology, biochemistry, immunology, and host-pathogen interactions. She performed her Post-doctoral studies on Yersinia host-pathogen interactions, more specifically on their type III secretion system pore proteins. Current research foci are in persistent bacterial and viral infections, host-pathogen crosstalk and immune interference, as well as in the causal link between infections and cancer.
She is on the board of several undergraduate and graduate teaching programs.
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.
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.
Linda W Kelly
I received my doctorate in 2013 from the SDSU/UCSD Joint Doctoral Program in Cell and Molecular Biology. I joined the Dept of Biology at San Diego State University as an Adjunct Research Professor in 2014. My research focuses on understanding changes in coastal marine microbial communities in response to environmental perturbations. Most of my research thus far has focused on coral associated microbes. Specifically, I use metagenomics to identify the taxonomic distribution and functional capacity of microbial communities in marine ecosystems that are subjected to varying nutrient availability, anthropogenic stressors, and comprising different benthic compositions.
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.
Alex Kentsis
Assistant Professor of Pediatrics at the Memorial Sloan Kettering Cancer Center and Weill Cornell Medical College of Cornell University.
He leads research in the functional proteomics and genomic plasticity of refractory childhood cancers.
Mather A Khan
Dr. Mather A Khan is a Senior Scientist at the Institute of Botanik, Heinrich Heine University, Düsseldorf, Germany. Before moving to Germany, Dr. Khan worked as a Postdoctoral fellow and then as a Research Scientist at the University of Missouri-Columbia, USA.
Dr. Khan’s research interest is mainly focused on understanding the mechanisms mediating the uptake and accumulation of essential (Iron, Fe; Zinc, Zn) and toxic metals (Cadmium, Cd) in plants. He is using state-of-the-art techniques including cell-specific transcriptomics, functional genomics, and ionomics to understand how plants take up, distribute and accumulate micronutrients and toxic elements within plant tissues, including seeds. During his stay at the University of Missouri, Dr. Khan discovered that leaves seem to sense the Fe status of the whole plant before roots that in contrast to the traditional view of nutrient sensing by plant roots. His research suggests that leaves integrate signals from different tissues and relay the information on the Fe status to roots to trigger, or not, an Fe deficiency response (i.e. increased Fe uptake).
He joined the Institute of Botanik, Heinrich Heine University in January 2021, where his research continues to explore the seed loading mechanism of Fe and Zn and develop strategies to optimize crops for higher protein and nutritional value which are essential for future agriculture production to ensure food security and reduce malnutrition and poverty.
Imran Khan
I received my MSc. Degree from Jawaharlal Nehru University, India in 2007 on understanding the role of TBP associated factor 9 (TAF9) in eukaryotic transcription. I completed my Ph.D. training in the laboratory of Prof. Paturu Kondaiah, in 2012, at Indian Institute of Science, Bangalore, India, on exploring the mechanism of precancerous oral lesion (OSF and Oral cancer) using gene expression profiling. I also worked on exploring the molecular mechanism of photo dynamic therapy agents in cancer cells. I did my first post doctorate in Dr. Praveen Arany’s lab at NIDCR, NIH on exploring the role of laser mediated phototoxicity involving ER stress and laser mediated wound healing. I am currently doing my second postdoctoral training in the laboratory of Patricia Steeg at NCI in NIH, on exploring the molecular mechanism of metastasis suppressor gene, NM23 in breast cancer metastasis and its possible therapeutic applications.
Haseeb A. Khan
Distinguished Professor of Biochemistry at College of Science, King Saud University, Riyadh, Saudi Arabia. Group Leader of Analytical and Molecular Bioscience Research Group and a Chair Professor at Research Chair for Biomedical Applications of Nanomaterials, King Saud University. PhD from Aligarh Muslim University, Aligarh, India and received scientific trainings in USA, UK, Denmark and Finland. Fellow of the Royal College of Pathologists (FRCPath) and the Royal Society of Chemistry (FRSC), UK. Authored more than 300 publications including 2 books and 20 book chapters. Recipient of Microsoft eScience Award. Listed in Top-2% World Ranking of Scientists. Research interests are clinical biochemistry, analytical chemistry, environmental chemistry, nanobiotechnology, molecular conservation, bioinformatics, pharmacology, and toxicology.
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.