School of Medicine

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  • Jason Wong

    Jason Wong

    Postdoctoral Research fellow, Endocrinology, Gerontology, and Metabolism

    Bio I am a graduate of the Harvard School of Public Health with a dual-doctorate in molecular/genetic epidemiology and environmental health. I have extensive expertise in quantitative analysis, epidemiological study design, and causal inference in observational studies. However, I am best described as a genomic trauma specialist focusing on the relationship between molecular markers, environmental factors, and risk of chronic diseases. My current research is multifaceted. I am currently investigating the relationship between sex hormone levels and risk of uterine fibroids in the Study of Women's Health Across the Nation (SWAN). Additionally, I am characterizing chromosomal copy-number variations in relation to risk of cardiovascular outcomes in the Cardiovascular Health Study (CHS). I am also exploring gene-environment interactions within the Epidemiology of Endometrial Cancer Consortium (E2C2).

    My career in biological research began at the British Columbia Cancer Agency under the guidance of Dr. Keith Humphries, a world renowned expert on the genetics of hematological disorders. It was in the Humphrie’s laboratory that I developed a strong foundation in molecular genetic techniques which served as a primer for the rest of my career. Subsequently, I became research laboratory manager for Dr. Immaculata De Vivo, a pioneer in molecular epidemiology at the Channing Division of Network Medicine at the Brigham and Women’s Hospital. Not only did I hone my expertise in molecular biology, but also received extensive training in the burgeoning field of molecular and genetic epidemiology.

    I used a three-pronged paradigm in my research to combat cancer; understanding genetic and biological susceptibility, prevention by attenuating modifiable risk factors, and treatment of underlying causative factors. With respect to genetic susceptibility, my projects focused on functional characterization of polymorphisms which predisposed women to endometrial cancer. With respect to attenuating modifiable risk factors, we studied how smoking and other lifestyle choices affect cancer risk. With respect to treatment of underlying disease, I studied how a novel therapeutic molecule called dichloroacetate induces cell death in a panel of endometrial cancer cells.

    My doctoral thesis focused on the effect of airborne particulate matter on telomere length, mediated through chronic inflammation and global DNA methylation. My interest in predictors of chronic disease is not limited to only to biological and environmental factors, but also social factors such as exposure to racism and early-life adversity in susceptible populations.

  • Ronald J. Wong

    Ronald J. Wong

    Sr Res Scientist-Basic Ls, Pediatrics - Neonatology

    Current Role at Stanford Senior Research Scientist

  • Wing Hung Wong

    Wing Hung Wong

    Stephen R. Pierce Family Goldman Sachs Professor in Science and Human Health, Professor of Health Research and Policy (Biostatistics) and, by courtesy, of Biology

    Current Research and Scholarly Interests Current interest centers on the application of statistics to problems arsing from biology. We are particularly interested in questions concerning gene regulation and signal transduction.

  • Douglas Wood

    Douglas Wood

    Sr. Software Developer, Health Research and Policy - Biostatistics

    Current Role at Stanford Working within the School of Medicine, I am developing solutions for the Stanford Bone Marrow Transplant, Lymphoma, and Cancer Institute Research Databases

    My Stanford Projects:

    - Stanford Cancer Center Research Database (SCIRDB)
    Developed a web-based platform to integrate data from the Stanford Cancer Institute (EPIC/Clarity), Stanford Tumor Registry, STRIDE (Tissue Bank & Pre-EPIC Data), and several other systems into a "one-stop shop" for data analysis and annotation by cancer researchers. This cohort-driven system allows users to focus on their patients of interest and provides free-text search of all their notes, reports and narratives as well as a timeline-based view of all events for a patient. Easy exports allow for data analysis in biostatistical tools and the system can perform complex analysis using the open-source R statistical software as a service.

    - Lymphoma Program Project (LPP)
    Rearchitected an existing legacy database system that tracks Stanford's Non-Hodgkins and Hodgkins Lymphoma cases back to the late 1960's. Enables clinicians to track diagnosis, courses of treatment, long-term follow-up, and clinical responses to the diseases.

    - Bone Marrow Transplant Program
    Developed replacement web-enabled database based on legacy system in place since 1980s that enhanced data capture abilities by leveraging data feeds from BMT Clinic and Stanford Hospital. Also enabled electronic form submission to national transplant databank via XML-based web-services.

    - Transplant Arteriosclerosis, Viral and Host Mechanisms
    Developed web-based application and reporting systems Gathered requirements, translated requirements into technical specifications, built reporting tools, designed table schemas, migrated database tables from Access to Oracle, normalizing and validating data in the process. Wrote all SQL scripts for automating data migration.

    - Stanford Asian Pacific Program in Hypertension and Insulin Resistance (SAPPHIRe)
    Provided on-going maintenance for the project by uploading data, generating reports for statistical analysis and modifying table schema to incorporate new measurements such as creatinine.

    - GenePad Project
    Developed a web-based tool for quality assurance of scanned form data that allows users to view scanned input and validate it before storing it into final database tables. The tool dynamically configures itself by examining the structure of the database.

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