Research

Using and developing tools and techniques in areas such as artificial intelligence and machine learning alongside technologies such as cloud computing, the DBMI faculty bring excellence in one or more domains of informatics including genomics and computational biology, translational bioinformatics and personalized medicine, clinical research informatics, and clinical informatics, while developing tools and methods such as ontologies, knowledge engineering, machine learning and artificial intelligence to bear on biomedical challenges.

The DBMI faculty use approaches of genome-scale biology, multiscale modeling, simulation, data integration, and mathematical and predictive analytics to marry disparate but related aspects of the campus’s clinical and research portfolios to advance knowledge and improve healthcare. Many of our faculty are affiliated with the Colorado Center for Personalized Medicine and Center for Health AI.

 

 

Research Teams

 

Albers Lab
Researchers in the Albers Lab focus on advancing biomedicine using data assimilation of both clinician and patient collected data to forecast physiology and compute new phenotypes, health care process modeling and analysis, and more.		Bennett Lab
Researchers in the Bennett Lab focus 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.		Claw Lab
Researchers in the Claw Lab focus broadly on personalizing medicine, using genetic information and biomarkers for tailored treatment, in relation to pharmacogenomics. They also research deeper understandings of ethical, cultural, and social implications of genomic research within populations.

Cole Lab

Researchers in the Cole Lab intersect large-scale genomics and nutrition data to learn more about diet's role in the body and in human health, with a focus on cardiometabolic disease.

Dashnow Lab
Researchers in the Dashnow Lab develop and apply computational methods for the diagnosis and discovery of the genetic basis of rare diseases. The lab has a special emphasis on Short Tandem Repeats and other hard-to-genotype variants.		Davis Lab
Researchers in the Davis Lab focus on technologies for data integration and reuse.
Dwork Lab
Researchers in the Dwork Lab focus on small data exploitation for computational imaging and radiation oncology. Applications include medical image reconstruction, image quantitation, radiation treatment planning, and inexpensive medical devices.
Gignoux Lab
Researchers in the Gignoux Lab, which is also part of the Colorado Center for Personalized Medicine, work at the interface of statistical and population genetics to improve our understanding of complex traits.

Greene Lab

Researchers in the Greene Lab are dedicated to answering important questions in biology and medicine with computation. They 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.

Hendricks Lab
Research in the Hendricks Lab spans a variety of health and disease projects including work in large scale genetic, methylation, metabolomic, and expression studies as well as more focused functional and model organism research. Recent applied and collaborative projects include understanding the mechanisms and mediators behind successful nutrition interventions in children and adults.

Johnson Lab
More information will be available soon.

 

JRavi Lab
Researchers in the JRavi Lab work on developing computational approaches to study the molecular basis of pathogenesis and intervention of infectious diseases using protein sequence-structure-function relationships, comparative genomics, and drug repurposing.

Julian Lab
Researchers in the Julian Lab focus primarily on the mechanisms underlying human adaptation to the chronic hypoxia of high altitude and, in particular, how these processes influence pregnancy outcome and the long-term health of affected offspring using the natural laboratory of high altitude.

Krishnan Lab

Researchers in the Krishnan Lab develop computational approaches that take advantage of massive public data collections to build predictive and interpretable models of genes, molecular networks, and tissue mechanisms that underlie the heterogeneity of complex diseases.

Ethan Lange Lab
Researchers in Dr. Ethan Lange’s Lab focus on study design for gene-mapping studies, including the use of multistage study designs and use of public genetic resources to improve power for gene discovery.

LARK Lab
The LAnguage, Reasoning, and Knowledge (LARK) Lab is led by Dr. Yanjun Gao. By developing foundational technologies and conducting cutting-edge research in natural language processing (NLP) with innovative artificial intelligence (AI), the lab is dedicated to creating powerful tools that tackle critical healthcare challenges and integrate seamlessly into healthcare systems.

Leslie Lange Lab
Researchers in Dr. Leslie Lange’s Lab focus on the genetic epidemiology of complex traits, primarily regarding cardiovascular disease, obesity, diabetes and pulmonary related phenotypes. Particular areas of focus include genetics studies in understudied minorities and facilitating large multi-study genetic collaborations.

Lozupone Lab
Researchers in the Lozupone Lab focus on factors that shape human microbiota composition in health and disease and to elucidate the functional consequences of compositional differences, both in terms of the biological/metabolic properties of individual bacteria and host interactions.

Norman Lab
Researchers in the Norman Lab focus on immunogenetics, which is the genetic variation that underpins our differential responses to infection and autoimmunity. In particular, the lab studies the co-evolution of HLA molecules that are expressed by most healthy cells, and the Natural Kill (NK) cell receptors that interact with HLA to control the immune response.

Pozdeyev Lab
Researchers in the Pozdeyev Lab use informatics to solve clinically relevant problems in thyroid cancer, such as risk assessment based on the analysis of thyroid ultrasound images and genetics, personalized thyroid hormone replacement therapy, and understanding thyroid cancer development and response to treatment at the level of a single cell.

Sirlanci Lab

Researchers in the Sirlanci Lab focus on investigating problems arising in biomedicine by using data assimilation techniques. For this purpose, the lab uses both physiology-based mechanistic models and machine learning type of models.

Stanislawski Lab
Researchers in the Stanislawski Lab study the molecular epidemiology of cardiometabolic disease, obesity, and other inflammatory conditions, particularly the role of the microbiome and its interactions with other omic profiles in diverse human populations. The lab also investigates how omic profiles relate to responsiveness during weight loss and exercise interventions.

Way Lab

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


Wiley Lab
Researchers in the Wiley Lab focus on harnessing the power of electronic medical records for precision medicine.

Yang Lab
Researchers in the Yang Lab focus on epigenetic regulation and transcriptional profiles in pulmonary fibrosis, sarcoidosis, and asthma.



 

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