Bian, Jiang

2015-03-17_Jiang_Bian_Portrait-6801Associate Professor
Department of Health Outcomes & Biomedical Informatics
Director of Cancer Informatics & eHealth Core
University of Florida Health Cancer Center

(352) 273-8878
bianjiang@ufl.edu

2197 Mowry Road, Suite 122
PO Box 100177
Gainesville, FL 32610-0177

Education

  • Ph.D., Integrated Computing, University of Arkansas at Little Rock, Little Rock, Arkansas
  • M.S., Computer Science, University of Arkansas at Little Rock, Little Rock, Arkansas
  • B.S., Architectural Environment & Equipment Engineering, Tongji University, Shanghai, China

Professional Biography

The increasing complexity of today’s biomedical research requires more than traditional, single point-of-view approaches. In particular, (big-)data-driven approaches that can reveal patterns in massive heterogeneous datasets and make clinically relevant predictions are becoming increasingly common in translational research. Unfortunately, the bridge from data processing to knowledge discovery is still insurmountably challenging. Unlocking the value of big data to achieve optimal use demands strong expertise in multiple disciplines. The overarching theme of Dr. Bian’s research is to study methods, develop tools, and draw insights through a holistic approach to data science with heterogeneous data, information and knowledge resources. In particular, Dr. Bian has a strong interest in applications of informatics techniques, including data science methods on heterogeneous data problems 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. Dr. Bian has a diverse yet strong multi-disciplinary background and extensive expertise in data science, natural language processing, network science, ontology development and evaluation, semantic web, data privacy, eHealth applications and software engineering. He has a key focus in informatics approaches to cancer control and population sciences, yet is involved in many other disease research areas, such as Alzheimer’s disease, opioid abuse and mental health issues.

Expertise

  • eHealth
  • Data science
  • Social media
  • Semantic web/ontology
  • Data privacy in health care
  • Cancer informatics

Publications

  • Prosperi M, Min JS, Bian J, Modave F. Big data hurdles in precision medicine and precision public health. BMC Med Inform Decis Mak. 2018 Dec 29;18(1):139. doi: 10.1186/s12911-018-0719-2. PMID: 30594159 DOI: 10.1186/s12911-018-0719-2
  • He Z, Gonzalez-Izquierdo A, Denaxas S, Dura A, Guo Y, Hogan WR, Shenkman E, Bian J. Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment on Clinical Trials on Type 2 Diabetes Mellitus. AMIA Annual Symposium. 2017. Forthcoming. (Distinguished Paper Award)
  • He Z, Bian J (co-first), Carretta H, Lee J, Hogan W, Shenkman E, Charness N. Comparative analysis of prevalence of multiple chronic conditions among older adults in Florida and the United States: Estimates from the OneFlorida Clinical Research Consortium Data Trust and National Inpatient Sample. J Med Internet Res. 2018 Apr 12;20(4):e137. doi: 10.2196/jmir.8961. PMID: 29650502 PMCID: PMC5920146
  • Mansoor H (g), Elgendy IY, Segal R, Bavry AA, Bian J. Risk prediction model for in-hospital mortality in women with ST-elevation myocardial infarction: A machine learning approach. Heart Lung. 2017 Oct 6. pii: S0147-9563(17)30160-7. doi: 10.1016/j.hrtlng.2017.09.003. PMID: 28992993.
  • Barrett LA, Payrovnaziri SN, Bian J, He Z. Building Computational Models to Predict One-Year Mortality in ICU Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome. AMIA 2019 Informatics Summit. March 25-28, 2019. San Francisco, CA.

More…

 

Recent News

Courses Taught

  • GMS 6803 Data Science in Clinical Research
  • GMS 6806 Security and Privacy in Clinical Research