Research Teams

Bennett Lab

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Dr. Bennett’s group focuses on clinical decision-making in high-risk environments such as intensive care units and on the development and implementation of informatics and data science methods and tools to improve outcomes.

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Greene Lab

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The Greene Lab is a team of researchers at the University of Colorado School of Medicine dedicated to answering important questions in biology and medicine with computation. We focus on bringing together publicly available big data, developing new computational methods to analyze that data, and creating tools to put those resources into the hands of every biologist.

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Hunter Lab

Hunter Lab

 

Dr. Hunter’s laboratory is currently focused on knowledge-driven extraction of information from the primary biomedical literature, the semantic integration of knowledge resources in molecular biology, and the use of knowledge in the analysis of high-throughput data.

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TISLab

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TISLab is unique in that it focuses on unifying data across sources, disciplines and forms to make them informative for new kinds of translational questions. It brings together people and their data across extremely diverse disciplinary divides, leading advances in science that aim to:

  • Cope with Climate Change
  • Facilitate knowledge discovery for Covid-19
  • Improve Rare Disease Diagnosis and Treatment
  • Accelerate Cancer Research
  • Promote Healthy Lifestyles

This means that the research done in TISLab depends upon partnership and collaboration, across multiple disciplines both within the College of Agricultural Sciences and in other areas such as the Office of Institutional Diversity and the Chief Technology Office.

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Way Lab

Way Lab

 

The mission of our lab is to integrate high-dimensional biomedical data science into clinical decision making to improve patient outcomes. We will develop new methods, approaches, assays, and software for analyzing high-dimensional genomic, molecular, and morphological data.

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Zhang Lab

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We are a Computational Omics and Systems Immunology (COSI) lab in the Department of Medicine Division of Rheumatology and the Center for Health AI, University of Colorado Anschutz Campus. We develop and use statistical machine learning methods, single-cell multi-omics, and systems immunology to study inflammatory diseases through deep collaborations with immunologists, rheumatologists, and clinicians. We are also affiliated in the Interdisciplinary Joint Biology Program (IJBP).

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