Ronny Shalev, PhD

Ronny Shalev, PhD has extensive experience in various roles throughout their career. Ronny is currently the CEO and Founder of Dyad Medical, Inc., a position they have held since October 2018. Prior to this, they served as the Founder and VP of R&D at U-Sense Technologies from 2010 to 2012.

Earlier in their career, Ronny served as the VP of Marketing and Sales at Orbotech Assembly Division from 2006 to 2011, where they successfully increased revenue from $32M to $42M within a year. Before that, they worked as the Director of Program Management at Marvell Semiconductor Inc. from 2003 to 2006.

Ronny also held the position of Director of Business Development at Radlan Communications, which was later acquired by Marvell Semiconductor, from 2000 to 2003. Prior to that, they worked as the Director of R&D - Software at Radvision Ltd. from 1999 to 2000.

At U-Sense Ltd., Ronny was an Entrepreneur and Founder from 1995 to 1999, developing an electromechanical product for the Minimally Invasive Surgery (MIS) education and training market. Ronny also worked as a Software Engineer at IBM Research Center from 1992 to 1995, specializing in image processing and machine vision algorithms.

Overall, Ronny Shalev, PhD has a diverse range of experience and expertise in various industries, including medical technology, semiconductor, and software development.

Ronny Shalev, PhD, has a strong education background in the field of Electrical Engineering and Computer Science. Ronny earned their Bachelor of Science (BSc) degree from Case Western Reserve University in 1990, specializing in Electrical Engineering and Applied Physics. Following this, they pursued a Master of Science (MSc) degree from the same institution, completing it in 1992 with a focus on Electrical Engineering and Computer Science. Dr. Shalev further advanced their academic qualifications by obtaining a Doctor of Philosophy (PhD) degree from Case Western Reserve University in 2016. Ronny'sPhD research primarily revolved around the areas of Image Processing in Healthcare and Artificial Intelligence within the field of Electrical Engineering and Computer Science.