Biomedical computer science
How brains respond to stimulation therapies
Matthew Johnson’s research lab aims to understand how the nervous system responds and adapts to stimulation-based therapies, such as deep brain stimulation. His team's studies are improving these therapies to help people with Parkinson's disease and Essential Tremor reclaim control over their motor function.
Prediction and prevention of cardiac arrhythmias
Alena Talkachova’s group visualizes electrical activity in the heart and small patches of cardiac tissue. They use nonlinear dynamics approaches to predict transition from normal to abnormal cardiac rhythms, and to prevent arrhythmias in the heart. They also develop novel tools to guide mapping-specific ablation in patients with atrial fibrillation.
Implantable brain chips
Zhi Yang’s lab studies the emerging area of implantable brain devices that can understand thoughts, such as to help amputees control robotic limbs or enable new electroceuticals. They’re developing neural recording, processing, and stimulation chips, and have devices in clinical trials.
Research from our graduate faculty
Quantitative MR imaging methods and translation
Patrick Bolan’s group focuses on developing computational methods for quantitative magnetic resonance imaging, and integration of such methods in clinical trials of cancer and obesity.
Geometry for cells
Meghan Driscoll’s lab aims to understand the functions of cell geometry and dynamics for cancer and immune cells. To do so, the lab combines advanced microscopy with the development of machine learning and computer graphics algorithms.
Algorithms to improve the quality of neuroimaging data
Kendrick Kay's lab aims to integrate broad interdisciplinary insights to understand brain function. In particular, the lab specializes in analysis methods for fMRI data, including advanced statistical and analysis methods as well as methods for improving the quality of fMRI data.
Brain connectomics: From algorithms to applications
Diffusion magnetic resonance imaging is revolutionizing brain connectivity mapping, rapidly advancing our understanding of neurological and psychiatric illnesses. Christophe Lenglet's lab aims to create imaging and computational methods to uncover the mechanisms underlying these conditions and discover biomarkers that will accelerate clinical trials.
Neural foundations of complex cognition
Jan Zimmermann’s lab explores the neural foundation of decision-making. The interdisciplinary team uses approaches from neuroscience, economics, psychology, math and physics to figure out how organisms adaptively use their finite neural coding capacity to make choices.