Advisory Board and Editors Genetics
Ute Hoecker
Professor of Molecular Plant Physiology at the University of Cologne, Germany, and Principle Investigator at the Cluster of Excellence on Plant Sciences (CEPLAS). My current research interests center on photomorphogenesis and light signaling in Arabidopsis.
Michael M. Hoffman
Michael Hoffman creates predictive computational models to understand interactions between genome, epigenome, and phenotype in human cancers. His influential machine learning approaches have reshaped researchers' analysis of gene regulation. These approaches include the genome annotation method Segway, which enables simple interpretation of multivariate genomic data. He is a Senior Scientist in and Chair of the Computational Biology and Medicine Program, Princess Margaret Cancer Centre and Associate Professor in the Departments of Medical Biophysics and Computer Science, University of Toronto. He was named a CIHR New Investigator and has received several awards for his academic work, including the NIH K99/R00 Pathway to Independence Award, and the Ontario Early Researcher Award.
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.
Zunnan Huang
Professor in Chemistry; Director, Key Laboratory of Big Data Mining and Precision Drug Design; Director, Key Laboratory of Computer-Aided Drug Design of Dongguan City; Vice Dean, Graduate School of Guangdong Medical University; PhD in Computational Chemistry and Physical Chemistry obtained from the University of Oklahoma; Guest Editor, Current Pharmaceutical Design, Current Medicinal Chemistry, Frontiers in Chemistry, Molecules; Reviewer for more than 50 SCI journals including Journal of the American Chemical Society, Science Advances, Nature Communications and Briefings in Bioinformatics. Authors of more than 117 SCI papers with an accumulated IF of 600.
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.
Juan P Jaramillo-Correa
Dr. Juan P Jaramillo-Correa is Investigador titular (Associate Professor) at the Insituto de Ecología, Universidad Nacional Autónoma de México.
His scientific interests address evolutionary questions that seek to answer how biological diversity originates and is maintained.
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.
Sheri L Johnson
A behavioural ecologist with broad interests in sexual selection, mating system evolution, sperm biology, behavioural epigenetics, and the effects of environmental challenges (e.g., hypoxia, toxins, and microplastics) on the reproductive and behavioural ecology of animals. Study systems include marine invertebrates, marine and freshwater fishes (including zebrafish) and terrestrial invertebrates (weta and stag beetles). Overall, Dr Johnson's research programme investigates both genetic and environmental effects on behaviour and reproductive fitness.
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.