Advisory Board and Editors Computational Biology
Yuri I. Wolf
Lead Scientist, Koonin Group at the Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health (Bethesda, Maryland).
Zhijin Wu
I develop statistical methodology and software for the analysis of -omics data. I am particularly interested in the regulation of transcription: the molecular mechanism as well as its association with disease.
Rongling Wu
Prof. Rongling Wu is a Distinguished Professor of Public Health Sciences and Statistics at Pennsylvania State Cancer Institute and Director of the Center for Statistical Genetics.
His research interests include; Quantitative Trait Loci, Genes, Growth, Population, Multifactorial Inheritance, Statistical Models, Genome, Populus, Genotype, Single Nucleotide Polymorphism, Phenotype and Chromosome Mapping.
Wei Xu
Dr. Wei Xu received his Ph.D. in Biostatistics from University of Toronto. He is currently a scientist and principle biostatistician in Princess Margaret Hospital on clinical research of cancer diseases. He is a faculty member at the Dalla Lana School of Public Health, University of Toronto and on the Editorial Board of the Journal of Medical Statistics and Informatics. Dr. Xu's research interests are statistical genetics and clinical trial design and analysis. He is the author or co-author of over 100 publications in peer-review journals.
Sergiy Yakovenko
Dr. Yakovenko is an associate professor in Rockefeller Neuroscience Institute in West Virginia University, where his laboratory develops interdisciplinary expertise in neurophysiology and computational neuroscience to address questions in system motor control. The research program is focused on developing reliable neural interfaces capable of controlling dexterous prosthetic devices.
Rendong Yang
Dr. Yang is an assistant professor and section leader for cancer genomics at the Hormel Institute. Dr. Yang obtained his PhD in the China Agricultural University, where his work involved the topic of microarray data analysis. Briefly he developed two statistical models, called ARSER and LSPR, to detect periodically expressed transcripts from evenly or unevenly sampled temporal microarray gene expression profiles respectively. By applying these algorithms to Arabidopsis and rice transcriptome, a list of novel clock-controlled genes that regulating plant circadian rhythm were identified. Dr. Yang finished his postdoctoral training at Emory University, where his research switched to cancer genomics and epigenomics. Working with researchers in Winship Cancer Institute, he developed a bioinformatics pipeline to analyze the whole genome mate-pair and pair-end sequencing and RNA-seq data from three tumor cells in multiple myeloma, which leads to discovering a novel SPI-ZNF287 t(11;17) translocation. After postdoctoral training, Dr. Yang joined Supercomputing Institute at University of Minnesota as a Bioinformatics Analyst working on both clinical genomics and prostate cancer research to define and characterize AR gene rearrangements from DNA-seq data, and also to interrogate genome-wide binding profiles of AR and AR variants in prostate cancer cells and tissues.
Zhi Yang
Zhi Yang is a Senior Manager in Biostatistics at Bristol Myers Squibb (2021-). She holds a Ph.D. in biostatistics from the University of Southern California. Her research interests include data science, machine learning, genomics, public health, Bayesian inference, and cancer research.
Kentaro Yano
Past; Associate Professor of Bioinformatics lab, Department of Life Sciences,
School of Agriculture, Meiji University.
Past; Graduate School of Agricultural and Life Sciences, The University of Tokyo.
Kazusa DNA Research Institute.
Plent Breeding, Kyoto University.
Venkata Yellapantula
Bioinformatician currently at Memorial Loan Kettering Cancer Center with 10 years of experience in analyzing high-throughput genomic and proteomic data. I have a diverse background in handling raw exome & whole genome sequencing, RNA-Seq and ChIP-Seq data to identify genetic aberrations. Proficient in development and implementing pipelines and algorithms and post analysis of aberrations identified through individual assays to glean novel biological patterns. Led large-scalegenomic efforts such as MMRF CoMMpass trial, ICGC & TCGA.
Jiyang Yu
Dr. Jiyang Yu's research is focused on systems biology, systems immunology, single-cell systems biology, immuno-oncology, translational oncology and functional genomics. He earned his bachelor’s degree in Computer Science from Zhejiang University, China. In 2008-2012, he was trained in Dr. Andrea Califano’s laboratory at Columbia University and earned his PhD degree in Biomedical Informatics.
Massimiliano Zanin
Principal Researcher at Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC), Palma de Mallorca, Spain.
My interest is mainly focus on the application of modelling tools (and especially complex networks theory and data mining) to a wide range of problems, from the air transport to the interactions within cells.