About Me
I 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.
