About Us

Department of Biostatistics & Informatics

 

We are data experts. We extract meaningful knowledge from data to impact human health. Biostatisticians and Data Scientists collaborate to formulate scientific questions, plan and evaluate study designs, implement rigorous and secure data collection and storage, and develop and apply state-of-the-art analytic methods to draw inferences from data. Our faculty are experts in clinical trials, real-world evidence, causal modeling, multi-omics, imaging, AI/deep learning, missing data, and structural equation modeling, among many other topics. We collaborate on a wide range of biomedical and public health topics. Our reach is at the interface of methods to practice and motivated by our collaborative partnerships.

 

Department Leadership


Dr. Nichole Carlson, PhD

Interim Chair

Dr. Carlson has over 20 years of experience as a collaborative biostatistician with a research focus on developing complex Bayesian models of biomedical data. She has two major research FOCI funding by NIH: 1) methods for analyzing hormone data using Bayesian approaches and 2) statistical methods and collaboration in sarcoidosis (and other diseases) with a focus on methods for lung CT imaging data. She is a strong believer in team science as the premier way to conduct research and supports that mission through leadership roles in the Biostatistics, Epidemiology, and Research Design program for Colorado’s Clinical and Translational Science Institute and the Center for Innovative Design and Analysis. She has taught all levels of graduate-level biostatistics curriculum from Bios 6601, the Department’s core course for the MPH, Advanced Statistical Methods and Analysis and Longitudinal Analysis for our MS students, and various PhD courses including Bayesian Methods and Computational Statistics

Dr. Brandie Wagner, PhD

Co-Program Director MS/PhD

 

Dr. Brandie Wagner is an Associate Professor in the Department of Biostatistics & Informatics, co-director of the MS & PhD Biostatistics Program, and co-director of the Colorado Summer Institute for Biostatistics (CoSIBS).

Dr. Wagner's contributions include collaborative and methodological research. She has worked closely with investigators on and off campus in many application areas. Her research interests include developing and applying statistical methods in proteomics/biomarker development, microbiome data analysis, and joint models. All her methodological research thus far has been motivated by collaborations, and she has contributed to advancing statistical knowledge in these areas.

Dr. Carsten Görg, PhD | Co-Program Director MS/PhD

Dr. Carsten Görg is an Assistant Professor in the Department of Biostatistics and Informatics, co-director of the MS & PhD Biostatistics Program, and co-director of the Colorado Summer Institute for Biostatistics (CoSIBS). 

Ms. Eleanor R. Cotton, MS | Program Director MPH

Ms. Eleanor R. Cotton is the Program Director for the Applied Biostatistics Master of Public Health at the University of Colorado Anschutz Medical Campus, a position she has held since March 2023. In this role, she leads the biostatistics master's of public health program, overseeing its development and strategic direction. Eleanor is also an instructor within the department. Within this role, she has extensive experience in teaching and curriculum development. Her expertise spans multiple statistical methods and softwares.

Our Mission 


Provide

high-quality education and professional development opportunities.

Advance

innovative research and methodologies in our field.

Foster

collaboration and interdisciplinary partnerships for real-world impact.

Serve

our community, industry, and stakeholders through outreach and engagement.

Rankings


US News & World Report

Ranked No. 22 among all biostat departments, and No. 12 among those at public institutions.

The Colorado School of Public Health ranked No.16 among all Colleges of Public Health, and No. 7 among those at public institutions.

Colorado Summer Institute in Biostatistics


CoSIBS is a Summer Institute in Biostatistics (SIBS) program sponsored by a grant from the National Heart Lung and Blood Institute (NHLBI) of the National Institutes of Health (NIH). The purpose of the NHLBI SIBS program is to introduce advanced undergraduate and early-stage graduate students to the field of biostatistics and the frontiers of data sciences. Over the past nearly ten years, we have enrolled over 200 students. 

Go to COSIBS Page

 

Personnel & Resources  


 


19 core faculty

    

10 Team Science Faculty


16 Master’s Core


125 graduate students
35 PhD | 31 MS | 59 MPH

 

Nearly all students are supported by half-time research or teaching assistantships

 

 


 

 

 

Extensive collaboration across CU Anschutz, supporting close to 13M in grant funding, and over two dozen collaborative partnerships.

 

Grant Funding: $12,838,742.00
 

Grants Submitted: 28
 

Grants as Principal Investigators (PI): 37 

 

 


Faculty Areas of Expertise


  • Adaptive clinical trial designs
  • Administrative health record data, claims data
  • Artificial Intelligence, machine learning, deep learning
  • Bayesian inference, Bayesian methods, Bayesian hierarchical modeling, Bayesian modeling
  • Bioinformatics, genomics, epigenomics, proteomics, metabolomics, omics, multi-omics
  • Biomarker discovery, validation, and evaluation, proteomic biomarker development
  • Chronic obstructive pulmonary disease
  • Clustering methods, dimension reduction
  • Collaborative biostatistics, collaborative team science, best practices for statistical collaboration
  • Comparative effectiveness analysis using propensity score methods
  • Complex data management, heterogeneous signals analysis, mixed data types integration
  • Causal inference, observational studies
  • CT imaging biomarkers, medical image analysis, medical image computing (PET, CT, MRI, ultrasound, X-ray, microscopy, digital pathology), image biomarker discovery, segmentation, classification, registration, retrieval, synthesis
  • Data integration, multi-modal data integration
  • Data safety and monitoring
  • Data visualization, visual analysis, human-centered computing
  • Discrete data methods
  • Early life determinants of diabetes and obesity in children
  • EHR observational analyses
  • Endocrinology research, reproductive health
  • Environmental Health
  • Evaluation of serum biomarkers for health outcomes
  • Factor analysis, psychometric methods, structural equation modeling, hierarchical linear modeling
  • General clinical research
  • Health outcomes research
  • Hematology
  • High-dimensional inference, high-dimensional regression, statistical analysis of network data, network analysis, network models
  • Interpretability in machine learning
  • Joint models, multivariate longitudinal models, methodological development for joint models
  • Linkage analysis, statistical genetics
  • Longitudinal and correlated data, longitudinal data analysis, non-normal longitudinal data analysis, structured correlation analysis
  • Machine learning methods for biomedical applications, predictive modeling for time-to-event and binary outcomes
  • Meta-analysis, meta-analyses
  • Methods for incorporating information sharing
  • Microbiome, microbiome data analysis, microbiome-metabolome interactions
  • Mixture modeling
  • Missing data methods
  • Model development, model selection
  • Permutation methods
  • Prediction modeling, predictive modeling
  • SAS programming, statistical computation/software
  • Single-cell data analysis
  • Statistical methods for image computing, statistical methods for network data
  • Substance use disorders
  • Survival analysis
  • Wearable device data

Alumni Positions


Department alumni have received positions in academia, pharmaceutical industries, biomedical research institutes, government agencies, and major corporations outside of the health sciences.

Academic and Research Positions

Postdoctoral Fellowships

  • NIH
  • Harvard University
  • CU Boulder

Faculty & Research Roles

  • Assistant Professor – National Jewish Health (NJH)
  • Assistant Professor – BIOS Department
  • Research Instructor – RI
  • Research Associate – ACCORDS, Center for Innovative Design & Analysis (CIDA)
  • Fellow in Neonatology

Academic Institutions & Affiliated Research Centers

  • CU Anschutz
  • Stanford University
  • Harvard University
  • University of Missouri
  • Boise State University (PhD program)
  • University of Pittsburgh Children's Hospital
  • Children's Hospital Colorado
  • Colorado VA

Industry & Private Sector

  • Pharmaceutical & Biotech
  • Principal Statistician – GSK
  • Senior Biostatistician – Parexel
  • Senior Biostatistician – Tigermed
  • Principal Biostatistician – Boston Scientific
  • Bioinformatics Scientist – Horizon Discovery
  • Biostatistician – National Jewish Health
  • Applied Scientist (ML Engineer) – Amazon

Healthcare & Data Science

  • Research Scientist – CIDA
  • Research Scientist – Children's Hospital Colorado
  • Health Science Specialist – VA
  • Data Manager
  • Senior Clinical Data Scientist
  • Senior Data Analyst – DaVita

Technology & Innovation

  • Lead Data Scientist
  • Vice President, Statistical Innovation Group – Medidata Solutions
  • Machine Learning Engineer – Workiva

Government & Public Health

  • Bioinformatician – Colorado Department of Public Health (CDPHE)
  • Research Analyst – Colorado Center for Personalized Medicine
  • IT Principal Professional – Health Data Compass

Other Notable Placements

  • Industry positions in Carlsbad, CA (Molecular Assemblies)
  • Industry roles in Neptune
  • Various research and consulting roles at CIDA
  • Research Consultant
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