Advisory Board and Editors Bioinformatics
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.
Hsueh-Fen Juan
Professor Hsueh-Fen Juan received her BS and MS degrees in Botany and PhD in Biochemical Sciences from National Taiwan University (NTU) in 1999. She worked as a Research Scientist in the Japan International Research Center for Agricultural Sciences (Tsukuba, Japan) in 2000-2001 and as a Postdoctoral Research fellow in the Institute of Biological Chemistry, Academia Sinica (Taipei, Taiwan) in 2001-2002. She started her academic career in the Department of Chemical Engineering at NTU as an Assistant Professor, and in the Department of Computer Science and Information Engineering at NTU as an Adjunct Assistant Professor in 2002. She became Assistant Professor in the Department of Life Science and the Institute of Molecular and Cellular Biology at NTU. She became Associate Professor in 2006 and Full Professor in 2009 in the Department of Life Science, Institute of Molecular and Cellular Biology and Graduate Institute of Biomedical Electronics and Bioinformatics at NTU. Dr. Juan received several awards including Taiwan's Ten Outstanding Young Persons (2008), FY2011 JSPS Invitation Fellowship Program for Research in Japan (2011), K. T. Li Breakthrough Award by Institute of Information and Computing Machinery (2012), National Science Council (NSC) Award for Special Talents of the Colleges (2010-2015), NTU Academic Performance Reward (2015, 2016) and 2015 USA Emerging Information and Technology Association (EITA) Service Award.
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.
Ruslan Kalendar
Ruslan Kalendar has been working at Nazarbayev University since 2020.
His interests are in molecular genetics, with a particular focus on the evolution of the genome and, in particular, mobile genetic elements. He is interested in the evolutionary processes underlying the spread and diversification of mobile genetic elements and their inactive descendants in eukaryotic genomes. The application of gene- and retrotransposon-based variation in mapping, diversity analysis, and development of breeding tools. He is interested in using DNA technology in diagnostic research, software development, genomics, and comparative bioinformatics (a search of repeats, DNA alignment and assembly, PCR primer design). He has extensive experience on numerous editorial boards (Frontiers in Plant Science, Frontiers in Genetics, BMC Biology, BMC Plant Biology, BMC Genomic Data). His other work in assessment includes grant reviewing for numerous funding bodies in the EU and internationally.
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.
Abdul Hafeez Kandhro
Dr. Abdul Hafeez Kandhro from Tando Jam; currently working as Assistant Professor at the Institute of Medical Technology, Jinnah Sindh Medical University, Karachi Pakistan. He graduated Ph.D. in Medical Technology (Clinical Laboratory Science) from the Faculty of Medical Technology, Mahidol University, Thailand.
He worked as Clinical Lab. Manager in reputed organizations since 2004 to 2010. While, from 2010 to 2013, he served as Consultant Lab at Healthcare Molecular & Diagnostic Laboratory.
His research interests are Medical Bioinformatics, Systems Biology, Cancer Genetics, Metabolic Syndrome, microRNAs, Thalassemias, IDA and pharmaceutical compounds.
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.
Gökhan Karakülah
Dr. Gökhan Karakülah currently works at Dokuz Eylül University, Izmir International Biomedicine and Genome Institute in Turkey as an associate professor. He obtained BSc (2005) from Ege University, and MSc (2009) and PhD (2014) degrees from Dokuz Eylül University, Health Sciences Institute in Turkey. Between October 2014 and April 2016, he joined Dr. Anand Swaroop’s research group as a postdoctoral researcher at National Eye Institute, NIH, US. The main focus of his current research has been to develop tools and algorithms for the better analysis and integration of diverse “omics” data sets generated with next generation sequencing technologies.