I study how humans perceive, understand, and produce speech. To investigate these phenomena, I build computational models that can reproduce human behavior and generate testable predictions about the perceptual and neural basis of human spoken communication.

I am currently a third-year PhD student in the Speech and Hearing Bioscience and Technology (SHBT) Program at Harvard University. I conduct my research in the Laboratory for Computational Audition at MIT, where I am advised by Josh McDermott.

I earned my B.Sc. in Systems and Biomedical Engineering from Cairo University (Egypt). During my undergraduate studies, I worked on developing computational models of motor neurons to study the early stages of ALS (Thesis).

I later completed a M.Sc. in Neuroscience and Neuroengineering at EPFL (Switzerland), where I was introduced to speech machine learning and cognitive neuroscience. As a Bertarelli fellow, I headed to HMS and MIT to do my master’s thesis in the Senseable Intelligence Group with Satrajit Ghosh on studying how humans and artificial neural network models recognize and represent voices (Thesis).