School of Medicine
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Postdoctoral Medical fellow, Oncology
Current Research and Scholarly Interests Solid Tumor Immunobiology and Immunotherapy
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.
Postdoctoral Research fellow, Cardiovascular Medicine
Current Research and Scholarly Interests Describe your current research interest and activities
Lesley S. Park
Postdoctoral Research fellow, Endocrinology, Gerontology, and Metabolism
Bio Palo Alto Veterans Affairs Healthcare System Research Fellow
National Cancer Institute (NCI) Big Data Scientist Training Enhancement Program (BD-STEP) Fellow
Veterans Aging Cohort Study (VACS) Cancer Core Co-Director
Dr. Lesley Park is an epidemiologist with strong quantitative, analytical, and programming skills. Her research experience has focused on the intersection of cancer and HIV, examining epidemiologic methods for cancer research, cancer incidence trends, and cancer prevention in persons living with HIV/AIDS (PLWHA). Since Lesley received her doctorate, she has been promoted to co-Director of the Veterans Aging Cohort Study (VACS) Cancer Core, overseeing cancer outcomes research in PLWHA.
As a new postdoctoral research fellow at Stanford University, Lesley has been selected to participate in the National Cancer Institute (NCI) Big Data Scientist Training Enhancement Program (BD-STEP) fellowship. Her key focus area is in cancer epidemiologic research design and innovative methods to account for measurement error and misclassification, particularly in evaluating and improving the risks for subsequent cancer and cardiometabolic conditions in cancer survivors. Her research aims to bridge epidemiology and healthcare ?big data". Lesley brings 7 years of experience using the national Veterans Health Administration (VHA) electronic health records database.
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).
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 www.genomicscode.org and continually post UNIX and R related tips and resolve computational problems that can be applied to genomics.
Venkata Raveendra Pothineni
Postdoctoral Research fellow, Infectious Diseases
Current Research and Scholarly Interests high throughput screening new drugs for borrelia burgdorferi