School of Medicine

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  • 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

  • Mary-Elizabeth Percival

    Mary-Elizabeth Percival

    Postdoctoral Medical fellow, Hematology

    Current Research and Scholarly Interests My primary research interest is in improving outcomes in acute myeloid leukemia (AML). From a clinical trial standpoint, I am interested in combining novel small molecule inhibitors with conventional chemotherapy. From a population-based standpoint, I am conducting a retrospective analysis of outcomes in AML patients at Stanford who have undergone hematopoietic cell transplantation, as well as a collaborative project with the Cancer Prevention Institute of California analyzing outcomes in AML patients with data from the Surveillance and Epidemiology End Results (SEER).

  • Milos Pjanic

    Milos Pjanic

    Postdoctoral Research fellow, Cardiovascular Medicine

    Bio Research statement:

    Milos is a Cardiovascular Medicine Postdoctoral Fellow at Stanford University School of Medicine. Milos finished his undergraduate studies in molecular biology and physiology at University of Belgrade in Serbia. He completed his doctoral studies in life sciences at University of Lausanne in Switzerland. As a scientist Milos has a formal training in experimental molecular and cellular biology, and also a substantial experience and primary interest in computational biology and bioinformatics. His major fields of interest encompass computational biology and bioinformatics, next-generation sequencing, genomics, transcriptomics, regulation of gene expression, specificity of binding of transcription factors to the genome, long-range genomic interactions, histone modifications and compartmentalization of the genome. In Quertermous laboratory at Stanford University, he is focusing his research on elucidating complex networks of interactions of transcription factors in human cardiac and vascular tissues and molecular mechanisms that could explain how cardiovascular disease risk-associated genomic loci confer disease risk. In order to identify the causal variants underlying disease susceptibility, he aims to employ allele specific methodologies 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). In addition, he is applying modeling of vascular SMC tissue-specific open chromatin with ATAC-Seq and DNase-Seq that will help better understand the underlying mechanisms for CVD causal variants. He is also active as a blogger, founded a blog and continually post UNIX and R related tips and resolve computational problems that can be applied to genomics.

  • Venkata Raveendra Pothineni

    Venkata Raveendra Pothineni

    Postdoctoral Research fellow, Infectious Diseases

    Current Research and Scholarly Interests high throughput screening new drugs for borrelia burgdorferi

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