Center for Big Data in Health Sciences (CBD-HS)

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Predictive Modeling
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Visualization, Harmonization & Integration
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Big Data Analytics
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School of Public Health TMC

Mission

To develop and promote innovative data science technologies to interrogate Big Data to improve the health of the people of Texas, the nation and the world.

 

Goals

  • Build a national/international-level Big Data research program for biomedical and health sciences via developing/promoting use of state-of-the-art Big Data analytic approaches and technologies
  • Build a data-driven research platform to bridge the gap between the computational/quantitative scientists and biomedical/health investigators
  • Support development of data science education programs to train next generation of health data scientists
  • Engage and develop partnerships with industries to promote individual health and community well-being by improving diagnosis, treatment, and prevention of diseases and injuries using Big Data

Big Data Projects: “Research Working Groups”

    • Goals:

      1. Develop scalable Big Data analytic pipelines to analyze a large number of time course gene expression data sets from the GEO data repository
      2. Develop a web-based collaboration platform to share the large number of analysis results with genetic and biomedical collaborators in order to extract scientific insights and disseminate the large number of findings from the scalable analytic pipelines via publications.

    • Meeting: Weekly 11:00AM-12:30PM every Thursday in UTHealth SPH RAS Room E811
    • Call for more collaborators: genetic/genomic scientists, cancer geneticists, bioinformaticians and other domain-specific biomedical investigators
    • Contact: Kevin Banks Kevin.J.Banks@uth.tmc.edu

      • Ambreen Zaver, Programmer Analyst III, UTHealth: School of Public Health,Biostatistics and Data Science
      • Ashraf Yaseen, Assistant Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Babak Soltanalizadeh, Ph.D. Student, UTHealth: School of Public Health,Biostatistics and Data Science
      • Bin Shi, Ph.D. Student, UTHealth: School of Public Health,Biostatistics and Data Science
      • Braja Patra, Postdoctoral Research Fellow, UTHealth: School of Public Health,Biostatistics and Data Science
      • Guocai Chen, Research Scientist, UTHealth: School of Biomedical Informatics,Biomedical Informatics
      • Hulin Wu, Department of Biostatistics and Data Science Chair, UTHealth: School of Public Health,Biostatistics and Data Science
      • Jae Joon Song, Research Collaborator, MD Anderson Cancer Center,Biostatistics
      • Jayit Biswas, Ph.D. Student, UTHealth: School of Public Health,Biostatistics and Data Science
      • Leqing Wu, Programmer Analyst III, UTHealth: School of Public Health,Biostatistics and Data Science
      • Luis Leon-Novelo, Assistant Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Michael Gonzalez, Programmer Analyst III, UTHealth: School of Public Health,Biostatistics and Data Science
      • Nan Deng, Postdoctoral Research Fellow, UTHealth: School of Public Health,Biostatistics and Data Science
      • Ningtao Wang, Assistant Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Vahed Maroufy, Postdoctoral Research Fellow, UTHealth: School of Public Health,Biostatistics and Data Science
      • Weiwei Shan, Ph.D. Student, UTHealth: School of Public Health,Biostatistics and Data Science
      • Wenjin Zheng, Associate Professor, UTHealth: School of Biomedical Informatics,Biomedical Informatics
      • Yunyun Jiang, Ph.D. Student, UTHealth: School of Public Health,Biostatistics and Data Science
  • EHR Collaboration Research Working Group
    • Goals: Promote collaborations between statisticians/data scientists and biomedical/clinical/epidemiological investigators to use EHR/EMR and medical insurance claim data to develop predictive models for disease risks and evaluate effects of clinical treatments to provide treatment recommendations based on the real-world evidence


    • Weekly 1:00-2:30PM every Monday in UTHealth SPH RAS Room E811
    • Call for more collaborators: Clinical, epidemiological and public health investigators
    • Contact: Kevin Banks Kevin.J.Banks@uth.tmc.edu
      • Ambreen Zaver, Programmer Analyst III, UTHealth: School of Public Health, Biostatistics and Data Science
      • Ashraf Yaseen, Assistant Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Chengxue Zhong, Ph.D Student, UTHealth: School of Public Health,Biostatistics and Data Science
      • David Aguilar, Associate Professor, UTHealth: McGovern Medical School,Internal Medicine
      • David R. Hall (Ryan), Assistant Professor of Surgery and Internal Medicine, UTHealth: McGovern Medical School; Memorial Hermann Transplant Center , Surgery
      • Degui Zhi, Associate Professor, UTHealth: School of Biomedical Informatics, Biomedical Informatics
      • Derek Brown, PhD student, UTHealth: School of Public Health, Biostatistics and Data Science
      • Duo Yu, PhD student , UTHealth: School of Public Health, Biostatistics and Data Science
      • Elizabeth Chiao, Associate Professor, Baylor College of Medicine, Medicine, Section of Infectious Disease
      • Emy Anu Thomas, M.S. Student, UTHealth: School of Public Health, Biostatistics and Data Science
      • Eric Thomas, Professor and Associate Dean for Healthcare Quality, UTHealth: McGovern Medical School, Internal Medicine
      • George Williams, Associate Professor of Anesthesiology, UTHealth: McGovern Medical School, Anesthesiology
      • Helen Engle, M.S. Student, UTHealth: School of Public Health, Biostatistics and Data Science
      • Hongjian Zhu, Associate Professor, UTHealth: School of Public Health, Biostatistics and Data Science
      • Hongyu Miao, Associate Professor, UTHealth: School of Public Health, Biostatistics and Data Science
      • Hulin Wu, Department of Biostatistics and Data Science Chair, UTHealth: School of Public Health, Biostatistics and Data Science
      • Joanne Hickey, Professor, UTHealth: Cizik School of Nursing, Family Health
      • Jose-Miguel Yamal, Associate Professor, UTHealth: School of Public Health, Biostatistics and Data Science
      • Kai Zhang, Assistant Professor, UTHealth: School of Public Health, Epidemiology, Human Genetics and Environmental Sciences
      • Kevin Hwang, Associate Professor, UTHealth McGovern Medical School; Dept of Internal Medicine, Internal Medicine
      • Laila Bekhet, Programmer Analyst I, UTHealth: School of Biomedical Informatics, Biomedical Informatics
      • Leqing Wu, Programmer Analyst III, UTHealth: School of Public Health, Biostatistics and Data Science
      • Linda HighField, Associate Professor, UTHealth: School of Public Health, Management, Policy & Community Health
      • Luis Leon-Novelo, Assistant Professor, UTHealth: School of Public Health, Biostatistics and Data Science
      • Michael Gonzalez, Programmer Analyst III, UTHealth: School of Public Health, Biostatistics and Data Science
      • Nan Deng, Postdoctoral Research Fellow, UTHealth: School of Public Health, Biostatistics and Data Science
      • Ningtao Wang, Assistant Professor, UTHealth: School of Public Health, Biostatistics and Data Science
      • Nirav Thosani, Assistant Professor, UTHealth: McGovern Medical School, Internal Medicine
      • Rodrigo Hasbun, Professor, UTHealth: McGovern Medical School, Internal Medicine
      • Ruosha Li, Assistant Professor, UTHealth: School of Public Health, Biostatistics and Data Science
      • Ryan Walsh, Chief Medical Information Officer, UTHealth: School of Biomedical Informatics, Biomedical Informatics
      • Shouhao Zhou, Instructor, MD Anderson Cancer Center, Biostatistics
      • Sriram Iyengar, Associate Professor of Biomedical Informatics, Texas A&M Health Science Center: College of Medicine, Biomedical Informatics Core, Clinical Science & Translational Research
      • Stacia DeSantis, Associate Professor, UTHealth: School of Public Health, Biostatistics and Data Science
      • Susan Ruppert, Professor/Assistant Dean (Interim), UTHealth: Czik School of Nursing, Acute & Continuing Care
      • Vahed Maroufy, Postdoctoral Research Fellow, UTHealth: School of Public Health, Biostatistics and Data Science
      • William Manuel, Assistant Professor, UTHealth: McGovern Medical School, Internal Medicine
      • Winston Liaw, Associate Professor, UTHealth: Department of Family and Community Medicine, Family and Community Medicine
      • Xueying Wang, PhD student , UTHealth: School of Public Health, Biostatistics and Data Science
      • Yashar Talebi, M.S. Student, UTHealth: School of Public Health, Biostatistics and Data Science
  • EHR Methodology Research Working Group
    • Goals: Develop novel statistical methods and predictive models for EHR and medical insurance claim data in order to address clinical and public health questions

    • Weekly 1:00-2:30PM every Monday in UTHealth SPH RAS Room E811
    • Call for more collaborators: Data scientists and computational experts
    • Contact: Kevin Banks Kevin.J.Banks@uth.tmc.edu

      • Ashraf Yaseen, Assistant Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Chengxue Zhong, PhD student, UTHealth: School of Public Health,Biostatistics and Data Science
      • Degui Zhi, Associate Professor, UTHealth: School of Biomedical Informatics,Biomedical Informatics
      • Derek Brown, PhD student, UTHealth: School of Public Health,Biostatistics and Data Science
      • Duo Yu, PhD student , UTHealth: School of Public Health,Biostatistics and Data Science
      • Emy Anu Thomas, M.S. Student, UTHealth: School of Public Health,Biostatistics and Data Science
      • Helen Engle, M.S. Student, UTHealth: School of Public Health,Biostatistics and Data Science
      • Hongjian Zhu, Associate Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Hongyu Miao, Associate Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Hulin Wu, Department of Biostatistics and Data Science Chair, UTHealth: School of Public Health,Biostatistics and Data Science
      • Jie Zhu, PhD student , UTHealth: School of Biomedical Informatics,Biomedical Informatics
      • Jose-Miguel Yamal, Associate Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Laila Bekhet, Programmer Analyst I, UTHealth: School of Biomedical Informatics,Biomedical Informatics
      • Liang Wu, PhD student , UTHealth: School of Public Health,Biostatistics and Data Science
      • Luis Leon-Novelo, Assistant Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Momiao Xiong, Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Ningtao Wang, Assistant Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Ruosha Li, Assistant Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Shouhao Zhou, Instructor, MD Anderson Cancer Center,Biostatistics
      • Stacia DeSantis, Associate Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Vahed Maroufy, Postdoctoral Research Fellow, UTHealth: School of Public Health,Biostatistics and Data Science
      • Xueying Wang, PhD student , UTHealth: School of Public Health,Biostatistics and Data Science
      • Yashar Talebi, PhD student , UTHealth: School of Public Health,Biostatistics and Data Science
      • Yi Yao, PhD student , UTHealth: School of Public Health,Biostatistics and Data Science
  • UK Biobank Research Working Group
    • Goals: Develop novel predictive models and statistical methods to integrate heterogeneous and different types of data from the UK Biobank study to address epidemiological and public health questions

    • Monthly: 2:00-3:30PM last Wed for each month in UTHealth SPH RAS Room E811
    • Members: Statisticians, data scientists, data managers, epidemiologists and public health investigators
    • Call for more collaborators: Epidemiologists and public health investigators
    • Contact: Kevin Banks Kevin.J.Banks@uth.tmc.edu

      • Ambreen Zaver, Programmer Analyst III, UTHealth: School of Public Health,Biostatistics and Data Science
      • Ashraf Yaseen, Assistant Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Baojiang Chen, Associate Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Degui Zhi, Associate Professor, UTHealth: School of Biomedical Informatics,Biomedical Informatics
      • Han Feng, Ph.D. Student, UTHealth: School of Public Health,Biostatistics and Data Science
      • Hongyu Miao, Associate Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Hulin Wu, Department of Biostatistics and Data Science Chair, UTHealth: School of Public Health,Biostatistics and Data Science
      • Jada Johnson, Ph.D. Student, UTHealth: School of Public Health,Biostatistics and Data Science
      • Jae Joon Song, Research Collaborator, MD Anderson Cancer Center,Biostatistics
      • Jose-Miguel Yamal, Associate Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Leqing Wu, Programmer Analyst III, UTHealth: School of Public Health,Biostatistics and Data Science
      • Michael Gonzalez, Data Manager, UTHealth: School of Public Health,Biostatistics and Data Science
      • Michael Swartz, Associate Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Momiao Xiong, Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Ningtao Wang, Assistant Professor, UTHealth: School of Public Health,Biostatistics and Data Science
      • Peng Wei, Associate Professor, MD Anderson Cancer Center,Biostatistics
      • Rong Jiao, Ph.D. Student, UTHealth: School of Public Health,Biostatistics and Data Science
      • Tao Xu, Ph.D. Student, UTHealth: School of Public Health,Biostatistics and Data Science
      • Wenjia Peng, International Scholar, UTHealth: School of Public Health,Biostatistics and Data Science
      • Xin Geng, Postdoctoral Research Fellow, UTHealth: School of Public Health,Biostatistics and Data Science
      • Yashar Talebi, M.S. Student, UTHealth: School of Public Health,Biostatistics and Data Science
      • Yucheng Zhao, M.S. Student, UTHealth: School of Public Health,Biostatistics and Data Science
      • Yuanyuan Liu, Ph.D. Student, UTHealth: School of Public Health,Biostatistics and Data Science

SPH Faculty members from the Department of Biostatistics and Data Science who exprerssed interest in joining the Center:

Primary Members

Hulin Wu, Ph.D

The Betty Wheless Trotter Professor & Chair, Biostatistics & Data Science, Professor of Biomedical Informatics.

Wenyaw Chan, Ph.D

Professor of Biostatistics & Data Science

Stacia DeSantis, Ph.D

Professor of Biostatistics & Data Science

Hongyu Miao, Ph.D

Associate Professor of Biostatistics & Data Science.

Michael Swartz, Ph.D

Associate Professor of Biostatistics & Data Science

Luis Leon Novelo, Ph.D

Professor of Biostatistics & Data Science.

Atem Folefac, Ph.D

Associate Professor of Biostatistics & Data Science.

Ningtao Wang, Ph.D

Associate Professor of Biostatistics & Data Science

Patrick Tarwater Ph.D

Professor of Biostatistics & Data Science

Ashraf Yaseen, Ph.D

Assistant Professor of Biostatistics & Data Science.

Secondary Members

Tenured and Tenure-track faculty from SPH who already have a primary center affiliation, but are willing to join the CBD-HS as a secondary member.

Soeun Kim, Ph.D

Assistant Professor of Biostatistics & Data Science.

Dejian Lai, Ph.D

Professor of Biostatistics & Data Science

Momiao Xiong, Ph.D

Professor of Biostatistics & Data Science.

Adriana Perez, Ph.D

Assistant Professor of Biostatistics & Data Science.

Adjunct Members

Faculty or Staff from other schools and institutions

  • Faculty members from SBMI, McGovern Medical School, School of Nursing and other schools at UTHealth.
  • Many faculty members from MD Anderson Cancer Center, Houston VA Medical Center, Baylor MEdical School, and other TMC institutions are interested in Big Data research.

Associate Members

  • MS statisticians
  • Research Associates
  • Database Developers
  • Data Managers
  • IT support staff
  • Software developers
  • Administrative Staff

Trainee Members

  • Postdoctoral Fellows
  • Students





Visiting Members

  • Postdoctoral Fellows







Organizational and Governance Structure


Director

  • Hulin Wu, Ph.D. The Betty Wheless Trotter Professor & Chair. Department of Biostatistics & Data Science, School of Public Health

Advisory Council

  • Dr. Eric Boerwinkle, Dean SPH
  • Dr. Susan Trortolero Emery, Senior Associate Dean of Academic and Research Affairs, SPH
  • Dr. Sally W Vernon, Blair Justice Ph.D. Professorship and Chair, Department of Health Promotion & Behavioral Sciences
  • Robert O Morgan Professor and Chair, Department of Management, Policy, and Community Health
  • Alanna C. Morrison Professor and Department Chair, Epidemiology, Human Genetics, and Enviornmental Sciences, Director of the Human Genetics Center
  • Criteria and Eligibility for Membership


    Membership expertise and eligibility:

    We expect the CBD-HS members with expertise in the following areas:

    • Statistical methodologies for Big Data analytics
    • Bioinformatics data analysis and modeling: Omics data analysis and integration
    • Biomathematical modeling and computational biology
    • Big Data analytics software development
    • Data mining and machine learning
    • Expertise and experience in novel data types: text documents, audio, video, EMR, EHR, mHealth, imaging data, EEG, sensor-based data, wearable device data, GPS data, location-based data, social media data, network data et.
    • High Performance Computing: parellel computing, cloud computing, high performance computing algorithms, numerical optimization algorithms
    • Any clinical, biomedical and health science investigators who are interested in using Big Data for their research and practice
    • Any others who intend to collaborate or work with the CBD-HS primary members

Contributions to UTHealth Community: Collaboration/Consulting Service and Support

Provide collaboration support and consulting services to biomedical and health science investigators:

  • Design research projects and tools/strategies for Big Data collection
  • Develop database or data warehouse for Big Data management
  • Big Data harmonization and integration
  • Big Data visualization
  • Big Data analytics
  • Big Data modeling and predictions

A Big Data research platform for Big Data identification, management, integration, visualization, analytics, modeling and prediction will be developed to support the Big Data research at UTHealth.

Industry Engagement:

We will actively develop collaborations and partnerships with related industries, including local companies, national and international corporations who may own Big Data and need analytic support. This will not only benefit our Center's faculty for research purpose, but also this is good for our students to get more opportunities for summer internships and jobs.

Contributions to Data Science Education Program:

Currently there is a big shortage in Data Scientists in many business sectors. In particular, the demand for data scients in health sciences is huge in academics, industry and government. Our Center will provide support and collaborate with the academic departments to develop data science education programs, including data science certificate, MS and PhD degrees in Biostatistics with the Data Science track. We will also organize and host summer schools workshops and conferences in Big Data. We will collaborate with other academic departments to apply for NIH T32 pre-doctoral and postdoctoral training grants in Data Science

Budget and Sustainable Funding

  • Currently the external grant funding of all primary members is $3,815,610 in total with the indirect cost of $1,102,344.
  • We will apply for external grants to support the Center faculty's research activities.

CBD-HS SPH News

July 17 2018  >>   Big Data Conference Houston, TX December 17-19, 2018