Eyal Cohen, PhD

Eyal Cohen, PhD has extensive work experience in various roles within the technology industry.

Eyal served as the Chief Executive Officer and Co-Founder at CogniFiber Ltd, a startup specializing in photonic computing solutions. In this role, they led the development of unique in-fiber computational products and oversaw company growth.

Prior to that, they worked as the Algorithm Team Leader at MS Tech Inc., where they managed a team focused on implementing machine learning algorithms for advanced sensor technologies.

Eyal also has experience as a Postdoctoral Researcher at Bar-Ilan University and HUJI (ELSEC) and BIU, where they conducted research in their field of expertise.

Additionally, they worked as a Hardware Engineer at Saifun Semiconductors Ltd., where they were responsible for gate-level and semiconductor design for Flash Memory controllers. Eyal also contributed to improving the Read/Write speeds of NVM chips.

Earlier in their career, they held the position of Hardware Engineer at Mellanox Technologies, a leading provider of interconnect solutions for servers and storage.

Eyal began their career as a DSP Algorithm Engineer at Oren Semiconductor, where they designed and developed algorithms for testing high-definition television products.

Throughout their career, Eyal Cohen, PhD has demonstrated leadership skills, technical expertise, and a passion for innovation in the technology industry.

Eyal Cohen, PhD, has a diverse education history spanning multiple fields of study. Eyal completed their Bachelor of Science degree in Electrical Engineering and Biology at the Technion - Israel Institute of Technology from 1997 to 2002. Eyal then pursued further education and obtained their PhD in Neurobiology from the Weizmann Institute of Science, where they studied from 2006 to 2012. Following their doctoral studies, they conducted a post-doctoral fellowship at Bar-Ilan University from 2013 to 2016, specializing in the field of Photonics. In addition to their formal education, Eyal also attended the SFN 2009 conference to enhance their knowledge in neuroscience.