About MeI am a Machine Learning Data Scientist at OURA working with the Health Sensing Team. I analyze longitudinal physiological data and build computational algorithms aimed at providing accurate and interpretable health monitoring solutions for all.
I completed my Ph.D. at the University of Texas at Austin in the Department of Electrical and Computer Engineering where I worked in the Human Signals Lab under the supervision of Prof. Edison Thomaz. During that time, I was affiliated with the Wireless, Networking & Communications Group (WNCG), the Institute for Foundations of Machine Learning (IFML), and the Intelligent Machine Learning Consortium (iMAGiNE). Prior to that, I received my Bachelor's in Electrical and Computer Engineering from the American University of Beirut. My main research lied at the intersection of mobile and ubiquitous computing and human-centered AI. Leveraging multimodal sensing technologies, I am particularly interested in building lifelong adaptive learning systems that continually perceive and recognize human behavior from sensor data .
Regarding other research experiences, I was a Visiting Student Researcher-Intern at E.L Ginzton Laboratory at Stanford University under the supervision of Prof. Butrus Khuri-Yakub working on transcranial high intensity focused ultrasound. I also worked on epileptic seizure prediction and detection optimization as an undergraduate research assistant at the American University of Beirut supervised by Prof. Zaher Dawy. Alongside academic work, I also have industrial experiences through a residency at X, The Moonshot Factory (formerly Google X), CA and internships at Intel, CA and Apple, PA.