Biostatistics and Data Science

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>> October 16th 2018 Dr. Sara Jimenez

>> October 23rd 2018 M.Laura Rubin, PhD

>> October 30th 2018 Dr Barry Davis

>> November 6th 2018 Genevera Allen

>> November 20th 2018 Lei Liu

>> November 27th 2018 Weining Shen

Biostatistics and Data Science Degree Programs

The Biostatistics Department of the UTHealth School of Public Health (SPH) offers graduate studies leading to the Master of Science (MS) and Master of Public Health (MPH) and Doctor of Philosophy (PhD) degrees.

Biostatistics is a discipline encompassing the study and development of statistical, mathematical, and computer methods applied to the biological and health sciences. Biostatisticians play a key role in the design, conduct and analysis of research studies of health and disease. There is ample opportunity for experience in consulting and collaborative research. Alumni of the Biostatistics program are prominent in academia, industry and government.

Minors for all degree programs can be selected from the Health Promotion and Behavioral Sciences, Environmental and Occupational Health Sciences, Epidemiology and Disease Control and/or Management, Policy and Community Health Departments. In addition to courses at UTHealth SPH, a wide variety of courses are available through cross registration with other schools and institutions in the Texas Medical Center as well as Rice University and the University of Houston.



Admissions

Dejian Lai, PhD

Professor of Biostatistics
Faculty Admissions Representative
(713) 500-9270
Dejian.Lai@uth.tmc.edu

Kevin Banks

Research Coordinator
(713) 500-9584
kevin.j.banks@uth.tmc.edu


Useful Links


Master of Science (MS)



Master of Public Health (MPH)


Doctor of Philosophy (PhD)


Guidelines for Doctoral Qualifying Exam

Guidelines for the new doctoral exam, as approved by the Associate Dean for Academic Affairs.

  1. All doctoral students entering in August 2010 or after will follow this new policy and take the new preliminary exam, oral defense and dissertation defense.  The Department of Biostatistics preliminary exam will include both take-home and in-class portions. The take-home portion will typically focus on material covered in PH 1820, PH1821, PH1830 and PH1831 and is a two-day exam. The in-class exam will focus on material covered in PH1910, PH1911, PH 1915 and PH1951, is a four-hour exam and students are allowed to bring text books and lecture notes pertinent to the recommended courses listed above. All doctoral students entering before August 2010 can choose either the new system or the old system. If you choose the new system, all rules on the new system should be followed. If you choose the old system, you will take the qualifying exam after completing 30 credit hours and demonstrating that you fulfill the requirements of the minor and the breadth. However, if your qualifying exam takes place after January 2011, your biostatistics portion will be the same format as the preliminary exam according to the new system. January 2011 will be the last time the department will give the old format of qualifying exam for biostatistics students.
  2. Those under the old exam system are expected to take biostatistics courses suggested by your advisory committee to meet the requirements of the degree program, regardless of which biostatistics exam you will take. Those under the new exam system are still expected to take additional biostatistics courses (beyond those recommended above) as well as the minor and breadth courses after the preliminary exam as you develop your proposal under the supervision of your dissertation committee.
  3. The biostatistics preliminary exam will be given once a year in August.
  4. It is the School’s policy that a student who failed twice on preliminary exam (new system) or qualifying exam (old system) can not stay in the doctoral program.

Addendum to PhD Students-Teaching Requirements

Doctoral students are required to obtain some teaching experience on biostatistics courses for majors for at least one semester. A typical example is to serve as a teaching assistant for a high level course in biostatistics after they complete the preliminary exam.

Requirements for Thesis/Dissertation

The dissertation should be in a paper format and is supposed to include two submitted papers. A dissertation proposal defense is required before the student advances to doctoral candidacy. For submitted papers, only the dissertation chair needs to verify. For further information about  Dissertation and Thesis Proposal.


Career


Career opportunities abound in the field of biostatistics throughout academia, industry and government. Examples include the pharmaceutical industry, the chemical industry, medical research centers, schools of public health, medical schools and government agencies such as the National Institutes of Health, Centers for Disease Control and Prevention, National Center for Health Statistics, state and local health departments, and the World Health Organization

usnews

Source: https://www.burning-glass.com/research-project/quant-crunch-data-science-job-market/

quantcrunch

Source: https://www.burning-glass.com/wp-content/uploads/The_Quant_Crunch.pdf

Faculty members in the Department of Biostatistics & Data Science have led and contributed to the development of cutting-edge statistical and data science methods for many areas including clinical trial design and analysis, longitudinal and correlated data analysis, machine/statistical learning approaches, survival data analysis, imaging data analysis, Bayesian statistics, statistical genomics and genetics, bioinformatics, graphic and network modeling, stochastic processes, missing data, time series and streaming data, spatial-temporal data, dynamic modeling and prediction, and Big Data approaches. These methods are applied to a wide range of biomedical and health science problems including:

  • Clinical trials for cardiovascular cell therapy, hypertension, stem cells, early treatment of retinopathy of prematurity, heart attack prevention, early treatment of acute spinal cord injury
  • Alzheimer and Parkinson’s diseases
  • Brain injuries and neurosciences
  • Behavioral sciences and mental health
  • Infectious diseases: HIV prevention and AIDS treatment
  • Occupational and environmental exposures in the etiology of adult leukemia
  • Inter-uterine growth through ultrasound measurement
  • Cancer and cervical cancer detection using optical spectroscopy,
  • Analysis of infant mortality in developing countries
  • Queuing models for emergency medical services
  • Stochastic modeling of movement through the health care system
  • Health effects of air pollution
  • Analysis of health services utilization and health care technology assessment
  • US-Mexico border health issues
  • Molecular evolution and phylogenetics
  • Electronic health records (EHR) and medical insurance claim data

Our Department hosts two research centers:

Coordinating Center for Clinical Trials (CCCT)

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

Computing Power

computing power

Folfec Atem, Ph.D, MSE

Folfec Atem, Ph.D
Assistant Professor

Research Interests

  » Modeling Longitudinal Studies
  » Single And Multiple Imputation
  » Clinical Trial Designs

 click for full bio

Cici Bauer, PhD

Cici Bauer, PhD
Assistant Professor

Research Interests

  » Spatial-temporal Modeling
  » Bayesian hierarchical models
  » Analysis of wearable device data

 click for full bio

Wenyaw Chan, Ph.D

Wenyaw Chan, Ph.D
Professor of Biostatistics and Data Science and UT Distinguished Teaching Professor
Research Interests

  » Longitudinal Study and Joint Models
  » Statistical Inference on Markov Chain Models
  » Statistical Methods for Public Health Studies

 click for full bio

Baojiang Chen, PhD

Baojiang Chen, PhD
Assistant Professor

Research Interests

  » Missing data
  » Longitudinal data analysis
  » Survival analysis

 click for full bio

Barry R Davis, Ph.D

Barry R Davis, M.D,Ph.D
Professor, Director of Center of CCCT and Guy S. Parcel Chair in School of Public Health
Research Interests

» Statistical Methods
» Clinical Trials
» Epidemiology

 click for full bio

Stacia DeSantis, Ph.D

Stacia DeSantis, Ph.D
Associate Professor

Research Interests

  » Bayesian statistics and modeling
  » Hidden Markov Modeling
  » Network meta-analysis

 click for full bio

Yun-Xin Fu, Ph.D

Yun-Xin Fu
Professor

Research Interests

  » Conservation Biology
  » Population and Quantitative Genetics
  » Computational biology

 click for full bio

Soeun Kim, Ph.D

Soeun Kim, Ph.D
Assistant Professor

Research Interests

  » Missing data
  » Longitudinal/correlated data
  » Mental/psychological/neurological studies

 click for full bio

Dejian Lai, Ph.D

Dejian Lai, Ph.D
Professor

Research Interests

  » Biostatistics
  » Chaos
  » Demography

 click for full bio

Luis Leon Novelo, Ph.D

Luis Leon Novelo, Ph.D
Assistant Professor

Research Interests

» Bayesian Statistics
» Electronic Health Record
» Traumatic Brain Surgery

 click for full bio

Ruosha Li, Ph.D

Ruosha Li, PhD
Associate Professor

Research Interests

  » Survival Analysis, Quantile Regression
  » Prediction, Validation, Association
  » Clinical trials, Public Health Studies

click for full bio

Hongyu Miao, MS, PhD

Hongyu Miao, MS, PhD
Associate Professor, Consulting Service Center
Director

Research Interests

  » Graphical Model and Time Series
  » Machine Learning
  » cHealth, EHR, neuroimaging, omics, clinical trials

click for full bio

Lemuel A. Moye III, M.D

Lemuel A. Moye III, M.D
Professor

Research Interests

» Cardiology and Clinical trials
» Proteomics/bioinformatics
» Imaging data

 click for full bio

Adriana Perez, Ph.D

Adriana Perez, Ph.D
Professor

Research Interests

  » Statistical Methods For Handling Missing Data
  » Sampling, sample size and power estimation
  » Group random trials;Stat Met Epidemiology

click for full bio

Michael Swartz, Ph.D

Michael D. Swartz, PhD
Associate Professor

Research Interests

  » Hierarchical models
  » Statistical genetics
  » Statistical Applications for Public Health Studies

click for full bio

Patrick M. Tarwater, Ph.D

Patrick M. Tarwater, Ph.D
Associate Professor

Research Interests

» Survival Analysis
» Longitudinal Data Analysis
» HIV/AIDS

click for full bio

Hulin Wu, Ph.D

Hulin Wu, PhD
The Betty Wheless Trotter Professor & Chair

Research Interests

  » Big Healthcare and EHR data
  » Reuse of Public Big Data for Research
  » Dynamic modeling of time course data

click for full bio

Momiao Xiong, Ph.D

Momiao Xiong, Ph.D
Professor

Research Interests

  » Computational Systems Biology
  » Functional Genomics
  » Bioinformatics

 click for full bio

Jose-Miguel Yamal, Ph.D

Jose-Miguel Yamal, PhD
Associate Professor of Biostatistics and Data Science

Research Interests

  » Clinical Trials
  » Machine learning and high-dimensional data
  » EHR and Big Data

 click for full bio

Ashraf Yaseen, Ph.D

Ashraf Yaseen, Ph.D
Assistant Professor

Research Interests

  » Bionformatics
  » Machine Learning
  » Data Analysis

click for full bio

Hongjian Zhu, Ph.D

Hongjian Zhu, Ph.D
Associate Professor

Research Interests

  » Clinical Trials, Adaptive Designs
  » Causual Inference, Large Sample Theory
  » Cardiovascular Disease

click for full bio


Adjunct Faculty

Veera Baladandayuthapani, PhD

Primary Affiliation: MD Anderson Cancer Center

click for full bio

Julia S. Benoit, PhD

Primary Affiliation: University of Houston

click for full bio

Scott B Cantor, PhD

Primary Affiliation: MD Anderson Cancer Center

click for full bio

John E. Cornell, PhD

Primary Affiliation:

click for full bio

Judith K Dunn, MS. Ph.D

Primary Affiliation:

click for full bio

Susan Galloway Hilsenbeck, Ph.D

Primary Affiliation: Breast Center at Baylor College of Medicine

click for full bio

Xuelin Huang, PhD

Primary Affiliation: MD Anderson Cancer Center

click for full bio

Kresimir Josic, PhD

Primary Affiliation: University of Houston

click for full bio

J. Jack Lee, PhD

Primary Affiliation: MD Anderson Cancer Center

click for full bio

Yuanyuan Liang, PhD

Primary Affiliation:

click for full bio

Clyde Martin, PhD

Primary Affiliation: Texas Tech University

click for full bio

Charles Minard, PhD, MS

Primary Affiliation:

click for full bio

Jing Ning, PhD

Primary Affiliation: MD Anderson Cancer Center

click for full bio

Leif Peterson, PhD, MPH

Primary Affiliation: The Methodist Hospital Research Institute

click for full bio

Joan Reisch, PhD

Primary Affiliation: UT Southwestern Medical School

click for full bio

Bruce Rodda, PhD, MBA

Primary Affiliation: Strategic Statistical Consulting LLC

click for full bio

Paul Scheet, PhD

Primary Affiliation: MD Anderson Cancer Center

click for full bio

E. O'Brian Smith, PhD

Primary Affiliation: Baylor College of Medicine

click for full bio

Cross Appointments

Alice Z. Chuang, PhD

UTHealth Science Center

click for full bio

Claudia Pedroza, PhD

UTHealth Science Center Medical School

click for full bio

Jim Zheng, PhD

UTHealth Science Center, School of Biomedical Informatics

click for full bio

Emeritus Professors

Ralph F. Frankowski

Ph.D. The University of Michigan, Rackham Graduate School, Ann Arbor, MI, 1967

Robert J. Hardy

Ph.D. University of California, Berkeley 1969

Asha S. Kapadia

Ph.D, Harvard University, 1969

Staff

Marice Barahona

Administrative Manager marice.barahona@uth.tmc.edu
(713) 500-9440

Kevin Banks

Research Coordinator kevin.j.banks@uth.tmc.edu
(713) 500-9584

Title Job Link

Tenure Track Assistant Professor/Associate Professor/Professor in Data Science

Tenure Track Assistant Professor/Associate Professor/Professor in Biostatistics

Non-Tenure Track Assistant Professor in Center for Biostatistics Collaboration and Data Services

Department of Biostatistics & Data Science at School of Public Health is an academic home for biostatisticians and data scientists at UTHealth to conduct high-quality education, research and service to improve the health of the people of Texas, the nation and the world. Our Department offers the following education programs:

  • Data Science Certificates
  • MPH with a major in Biostatistics
  • MS/PhD in Public Health with a major in Biostatistics
  • MS/PhD in Public Health with a major in Data Science (subject to final approval)

Our faculty members have a diverse array of statistical and data science methodology expertise with application interests in variety of biomedical and health science fields. For more details, please see our faculty profile webpage

Our Department hosts three research and collaboration/service centers:

  • Coordinating Center for Clinical Trials (CCCT) which has a more-than-40-year history of successfully coordinating large multicenter clinical trials and providing comprehensive services for clinical trial operation, data management and data analysis.
  • Center for Big Data in Health Sciences (CBD-HS) hosts several Big Data research projects, including development of predictive models and heterogeneous data integration methods for Electronic Healthcare Record (EHR) data, insurance claim data and public databases or data repositories.
  • Center for Biostatistics Collaboration and Data Services will provide opportunities for our faculty and students to collaborate and interact with biomedical and health science investigators to address scientific questions using their statistical and data science skills.