About Us – Xtrava Health

About Us

Xtrava Health is a Silicon Valley company, founded in 2014, on a mission to bridge the gap between diagnostics and everyday users. Leveraging next generation technology and strategic global partnerships, Xtrava Health develops, manufactures, and commercializes easy-to-use, accurate, and affordable diagnostic products for health professionals and at-home use. Xtrava Health is currently on the forefront in the battle against the COVID-19 pandemic.

Xtrava Health Leadership

Sameh Sarhan

Co-Founder, CEO

Corporate and startup leader. 20+ years of business development, marketing and technology experience. Track record of taking ideas from concept to production at National Semiconductor & Texas Instruments.

Iman Sadreddin

Co-Founder, COO

Product and omni-channel platform founder (acquired by NetSuite). Big data & personalization founder (acquired by The Honest Company). MS/BS in CS from USF.

Mariano Ferrario

Vice President of Software Development

Mariano joined Xtrava in 2020, bringing with him more than 20 years of experience in developing, designing and delivering innovative, intuitive and interactive customer-focused digital experiences that are grounded in user needs. His skill set includes a deep understanding of all aspects of software design, development and delivery, including user experience design, research, product management and engineering.

Larry Zuckerman

Chief Scientist and Founding Team Member

Larry is a distinguished systems technologist who brings more than 50 years of experience in systems architecture, product design and technical marketing management to the Xtrava team. Zuckerman, a founding member of Xtrava, holds more than 20 patents; he is the sole inventor of six patents and the first inventor of five others, which include methods to detect heart disease, designs for solar array communications, single-chip RF transceiver designs and more.

Mohamed Elhoseiny, Ph.D

Lead Artificial Intelligence Advisor

Dr. Elhoseiny is an assistant professor of Computer Science at KAUST. Previously, he was a visiting Faculty at Stanford Computer Science department (2019-2020), Visiting Faculty at Baidu Research (2019), Postdoc researcher at Facebook AI Research (2016-2019). Dr. Elhoseiny did his Ph.D. in 2016 at Rutgers University where also he spent time at SRI International in 2014 ( best intern award ) and at Adobe Research (2015-2016). His primary research interest is in computer vision and especially in efficient multimodal learning with limited data in zero/few-shot learning and Vision & Language. He is also interested in Affective AI and especially to understand and generate novel art and fashion.