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
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.
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.