Aya Khalaf
Postdoc
Yale University
Aya completed her B.Sc. and M.Sc. in biomedical engineering at Cairo University. During her M.Sc., she developed machine learning methods for arrhythmia classification. She obtained her Ph.D. at the University of Pittsburgh. During her Ph.D., she developed single and multimodal brain-computer interfaces as well as machine learning and probabilistic fusion approaches to fuse information across modalities. Currently, Aya is a postdoctoral associate in the Blumenfeld Lab at Yale School of Medicine. Her current research focuses on investigating the mechanisms of normal and impaired consciousness using different modalities such as fMRI, EEG, and icEEG. She is also developing machine learning methods to detect and predict generalized and focal seizures based on EEG recordings.
Aya is interested in understanding the cortical and subcortical mechanisms of normal and impaired consciousness. She aims at employing her understanding of such mechanisms as well as noninvasive brain imaging and stimulation technologies combined with advanced machine learning models to improve the quality of life for patients with impaired consciousness.
