Dr. Amy Kuceyeski is an Associate Professor of Mathematics in the Department of Radiology at Weill Cornell Medicine and an Adjunct Associate Professor in Computational Biology and Statistics and Data Science at Cornell-Ithaca. For over a decade, Amy has been interested in understanding how the human brain works in order to better diagnose, prognose and treat neurological disease and injury. Quantitative approaches, including machine learning, applied to data from rapidly evolving neuroimaging techniques, have the potential to enable ground-breaking discoveries about how the brain works. Amy has particular interest in non-invasive brain stimulation and pharmacological interventions, like psychedelics, that may be used to modulate brain activity and promote recovery from disease or injury. For more information, see her lab's website.
Dr. Mert Sabuncu is an Associate Professor in the Electrical and Computer Engineering Department at Cornell-Ithaca and Cornell-Tech, with a secondary appointment in the Department of Radiology at Weill Cornell Medicine. His lab conducts research in the field of biomedical data analysis, in particular imaging data, and with an application emphasis on neuroscience and neurology. We use tools from signal/image processing, probabilistic modeling, statistical inference, computer vision, computational geometry, graph theory, and machine learning to develop algorithms that allow us to learn from and exploit large-scale biomedical data. For more information, see his website.