Computational Biology and Bioinformatics

Computational Biology and Bioinformatics uses data, modeling, and computation to understand complex biological systems across scales - from cells to whole organisms and clinical environments. By integrating large datasets from -omics and imaging technologies, this work uncovers new mechanisms, builds predictive models, and informs decision-making in healthcare.


Faculty with Research in this Area

David Albers PhD

Associate Professor
Biomedical Informatics
Develop and deploy computational machinery to positively impact health care decisions and understand systems physiology.

Alberto Cruz-Martín PhD

Associate Professor
Anesthesiology
We are a dynamic and collaborative research group dedicated to understanding how neural circuits are wired, maintained, and disrupted in disease.

David DiGregorio PhD

Professor
Physiology and Biophysics
Our lab investigates how the diversity and dynamics of synapses shape neural circuit function and behavior. Using a multi-scale and multi-disciplinary approach-from nanoscale molecular organization to millimeter-scale circuit output-we study how neurons encode time and integrate multisensory information.

Casey Greene PhD

Professor
Biomedical Informatics
If it's at the interface of machine learning, public data, and the transcriptome, we're probably interested.

Kendall Hunter PhD

Associate Professor
Biomedical Engineering
Dr. Hunter's lab applies expertise in theoretical solid and fluid mechanics to improve the analysis and interpretation of medical images for better diagnosis and prognosis of pulmonary and cardiac diseases. They also perform research on biomedical applications of augmented reality and computer vision.

Laureline Logiaco PhD

Assistant Professor
Physiology and Biophysics
We study how the brain controls the body during everyday tasks by building neural network models of brain-wide interactions and refining them using experimental data from our collaborators.

Brice McConnell MD, PhD

Assistant Research Professor
Neurology
Ongoing projects in my lab include: 1) development of digital biomarkers for "wearable" devices that detect abnormal brain aging and early neurodegenerative disease risk, 2) assessment of the neuroprotective properties of sleep in the context of aging and neurodegenerative disease, and 3) integrating age-related changes in brain communication to molecular phenotypes that precede the development of classic neurodegenerative pathology.

Chuangqi Wang PhD

Assistant Research Professor
Immunology & Microbiology
Our lab leverages systems immunology, quantitative imaging, longitudinal multivariate modeling, and machine learning to uncover mechanisms and predictors of infectious and inflammatory diseases.
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