School of Medicine

Showing 1-10 of 12 Results

  • Jason Paik

    Jason Paik

    Postdoctoral Medical fellow, Oncology

    Current Research and Scholarly Interests Solid Tumor Immunobiology and Immunotherapy

  • Maryam Panahiazar

    Maryam Panahiazar

    Postdoctoral Research fellow, Biomedical Informatics

    Bio Dr. Maryam Panahiazar (Mary) was a Postdoctoral Research Associate in Medical Informatics group at the Mayo Clinic College of Medicine. During her appointment at Mayo Clinic she was working on personalized and translational medicine using machine learning and semantic web technology for clinical decision making, response therapy and recommendation engines. She has several years of research experience in machine learning, data mining, biomedical knowledge representation, semantic web and ontology development. She has been a key member in NIH R01 grant on semantics and services enabled problem solving environment, which have pioneered techniques for semantic web in life sciences. Mary ?s research interest and expertise lies in applying informatics in healthcare and life sciences. She participated in the NIH training program where she worked on semantic similarity and data integration for NLM resources. She also was Research Associate at kno.e.sis center where she worked on data integration, ontology development, semantic annotation and question answering system. She contributed as program committee members of several conferences and reviewer for many journals and conferences.

  • Vedant Pargaonkar

    Vedant Pargaonkar

    Postdoctoral Research fellow, Cardiovascular Medicine

    Current Research and Scholarly Interests Describe your current research interest and activities

  • Milos Pjanic

    Milos Pjanic

    Postdoctoral Research fellow, Cardiovascular Medicine

    Bio Research statement:
    My major fields of interest are computational biology and bioinformatics, coupled with the passion for the next-generation sequencing technologies, and a profound scientific interest in genomics, transcriptomics, regulation of gene expression, specificity of binding of transcription factors to the genome, histone modifications, nucleosome positioning, long-range genomic interactions and compartmentalization of the genome. My research lies on the frontier of the contemporary computational genomics, with the emphasis on development and testing of scripts and algorithms for the analysis of human genome and transcriptome. My focus is the improvement of methods for the various applications of the next generation sequencing, such as chromatin - immunoprecipitation sequencing or ChIP-Seq, RNA-sequencing or RNA-Seq, and probing open chromatin, DNase-Seq/ATAC-Seq, in order to answer key biological question that will ultimately help us understand better the underlying mechanisms of life. As a postdoc at Stanford?s Cardiovascular Institute, I am elucidating complex networks of interactions of transcription factors in human cardiac and vascular tissues, and molecular mechanisms that explain how cardiovascular disease risk-associated genomic loci confer disease risk. I am also employing allele specific computational pipelines to the existing next generation sequencing techniques, i.e. ChIP-Seq and RNA-Seq, in combination with the generation of eQTL data for human arterial smooth muscle cells (primary cell type of atherosclerotic lesions) to identify the causal variants that underlie disease susceptibility. In addition, I am modeling vascular SMC tissue-specific open chromatin with ATAC-Seq and DNase-Seq to understand the underlying mechanisms for cardiovascular disease causal variants. I am also active as a blogger, started a blog and continually post UNIX and R related tips and resolve computational problems that can be applied to genomics.

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