School of Medicine


Showing 1-9 of 9 Results

  • Summer Han

    Summer Han

    Assistant Professor (Research) of Neurosurgery and of Medicine (Biomedical Informatics)

    Current Research and Scholarly Interests My current research focuses on understanding the genetic and environmental etiology of complex disease and developing and evaluating efficient screening strategies based on etiological understanding. The areas of my research interests include statistical genetics, molecular epidemiology, cancer screening, health policy modeling, and risk prediction modeling. I have developed various statistical methods to analyze high-dimensional data to identify genetic and environmental risk factors and their interactions for complex disease.

  • Josef Hardi

    Josef Hardi

    Software Dvlpr 2, Med/BMIR

    Bio I'm a software engineer with a keen interest in data science. I have over 10 years’ experience in software development and 5 years in the data processing. Currently, I work as a backend developer for the Stanford Center of Biomedical Informatics Research; tackling issues in data and metadata management and interoperability. I also actively engage in the work of converting health and claim records to the OMOP common data model as part of my collaboration with the Stanford Population Health Sciences. I have experience with Java, Python, R, RDF, OWL, OBDA, Schema.org and Elasticsearch.

  • Zihuai He

    Zihuai He

    Assistant Professor (Research) of Neurology and of Medicine (BMIR)

    Bio Dr. He received his PhD from the University of Michigan in 2016. Following a postdoctoral training in biostatistics at Columbia University, he joined Stanford University as an assistant professor of neurology and of medicine in 2018. His research is concentrated in the area of statistical genetics and integrative analysis of omics data, with the aim of developing novel statistical and computational methodologies for the identification and interpretation of complex biological pathways involved in human diseases, particularly neurological disorders. His methodology interest includes high-dimensional data analysis, correlated (longitudinal, familial) data analysis and machine learning algorithms.

  • Tina Hernandez-Boussard

    Tina Hernandez-Boussard

    Associate Professor (Research) of Medicine (Biomedical Informatics), of Biomedical Data Science and of Surgery

    Current Research and Scholarly Interests My background and expertise is in the field of computational biology, with concentration in health services research. A key focus of my research is to apply novel methods and tools to large clinical datasets for hypothesis generation, comparative effectiveness research, and the evaluation of quality healthcare delivery. My research involves managing and manipulating big data, which range from administrative claims data to electronic health records, and applying novel biostatistical techniques to innovatively assess clinical and policy related research questions at the population level. This research enables us to create formal, statistically rigid, evaluations of healthcare data using unique combinations of large datasets.

  • Benjamin Huynh

    Benjamin Huynh

    Ph.D. Student in Biomedical Informatics, admitted Autumn 2017

    Bio I'm a PhD student in Biomedical Informatics, advised by Sanjay Basu. Previously, I obtained a BS in Statistics at the University of Chicago. My research interests include biostatistical methods and machine learning, with applications to public health and social justice.

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