About Jiang Bian
Biomedical Informatics is an interdisciplinary field, where the central theme is to explore the effective uses of data, information, and knowledge for scientific inquiry, problem-solving, and decision making, motived by efforts to import human health. I have a diverse yet strong multi-disciplinary background in data integration, semantic web, machine learning, natural language processing, social media analysis, network science, data privacy, and software engineering. Nevertheless, my expertise and background serve an overarching theme: data science with heterogeneous data, information and knowledge resources.
I am currently directing the Cancer Informatics & eHealth Core program (http://bit.ly/36IBw5s).
I have a diverse yet strong multi-disciplinary background. Nevertheless, my expertise and background serve an overarching theme: data science with heterogeneous data, information and knowledge resources. My research areas can be divided into three logical sections under this overarching theme: (1) data-driven medicine—applications of informatics techniques, including machine learning methods in medicine on solving big data problems; (2) mining the Internet, including the social web, to provide insights into health-related behavior and health outcomes of various populations and finding ways to develop interventions that promote public and consumer health; and (3) development of novel informatics methods, tools and systems to support clinical and clinical research activities such as tools for data integration, clinical trial generalizability assessment, and cohort discovery.
Google Scholar: https://scholar.google.com/citations?hl=en&user=ysr–voAAAAJ&view_op=list_works&sortby=pubdate
- Cancer Informatics
- Social media
- data privacy in healthcare
- data science
- eHealth and user-centered design
- semantic web