Computational Systems Biology & Medicine

In biomedical engineering, computational modeling is used to help researchers gain an enhanced understanding of complex biological processes.  It has many applications in medicine, which include improving our understanding of human physiology, visualizing and interpreting experimental data, and designing novel therapies. Below, learn more about ongoing research in computational modeling from investigators in the MU-MCW Department of Biomedical Engineering.  


Computational Systems Biology & Medicine Laboratories


3D rendering of sinus cavitiesAirway Biomechanics Laboratory

Dr. Garcia and the Airway Biomechanics Lab (Airway Lab) are developing surgical planning tools for obstructive sleep apnea and nasal airway obstruction based on solid mechanics and fluid mechanics simulations.

Learn more about the Airway Lab | Learn more about Dr. Garcia



Isolated rodent lung on ventilation-perfusion apparatusComputational Lung Physiology Laboratory

Dr. Audi and collaborative researchers in the Computational Lung Physiology Laboratory (CLPL) use physiologically based pharmacokinetic modeling to identify biomarkers for detecting and monitoring acute lung injury and acute respiratory distress syndrome (ARDS).  

Learn more about the CLPL | Learn more about Dr. Audi 


Illustration of compuational model of mitochondrial functionComputational Systems Biology Laboratory

The Computational Systems Biology Laboratory (CSBL) uses an integrated experimental and computational modeling approach to understand kinetic and molecular mechanisms and the associated biochemical driving forces that regulate mitochondrial, cellular, and tissue/organ functions under healthy conditions, and how malfunctions in the mitochondrial and cellular machinery lead to tissue/organ dysfunctions and pathogenesis of different diseases. 

Learn more about the CSBLLearn more about Dr. Dash


Computer-generated aorta with colors indicating relative wall shear stressLaboratory for Translational, Experimental & Computational Cardiovascular Research

The Laboratory for Translational, Experimental & Computational Cardiovascular Research (CV T.E.C.) is interested in the modeling, visualization and understanding of the roles of physiological driving forces generated by blood flow in the pathogenesis of congenital and acquired cardiovascular diseases.

Learn more about CV T.E.C.


NanoparticlesNanomedicine & Image-Guided Interventions Laboratory

Dr. Amit Joshi and researchers at the Nanomedicine & Image-Guided Interventions Laboratory (NIGIL) use computational modeling to better understand the protein-protein interaction network that regulates cell proliferation and division in health, viral infection, and cancer.

Learn more about NIGILLearn more about Dr. Joshi


Research image from Neuromotor Control LaboratoryNeuroMotor Control Laboratory

Co-directed by Dr. Robert Scheidt, The NeuroMotor Control Laboratory (NMCL) uses computational modeling to advance understanding of how the human brain uses sensory information to control goal-directed movements and acquire novel sensorimotor skills. 

Learn more about the NMCL | Learn more about Dr. Scheidt



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