Ehud Pardo
About Ehud Pardo
Ehud Pardo serves as the Chief Technology Officer at Bioz, Inc. since 2015, bringing extensive experience from previous roles at Microsoft, Liquid Robotics, Unisys, and the SETI Institute.
Work at Bioz
Ehud Pardo has served as the Chief Technology Officer (CTO) at Bioz, Inc. since 2015. In this role, he is responsible for overseeing the development and implementation of technology strategies that support the company's mission in the life sciences sector. Pardo has played a key role in designing and developing the Bioz life science search engine, utilizing Natural Language Processing and Machine Learning. He also developed the Bioz portal using Ruby on Rails, integrating a React front end and managing multiple databases. His responsibilities include overseeing multiple cloud-based systems and handling large-scale data processes.
Previous Experience
Before joining Bioz, Ehud Pardo held several significant positions in the technology sector. He worked at Liquid Robotics as a Senior Software Engineer from 2008 to 2015, where he contributed to various engineering projects. Prior to that, he was employed at Microsoft Corporation USA as a Software Development Engineer (SDE) and Development Manager from 2000 to 2006. His early career included roles at Unisys as an Engineer from 1985 to 1991 and at the SETI Institute as an Engineer from 1991 to 1999.
Education and Expertise
Ehud Pardo earned a Master of Science in Electrical Engineering (MsEE) and a Bachelor of Science in Electrical Engineering (BsEE) from Drexel University. His educational background provides a strong foundation in both electrical and computer engineering, equipping him with the skills necessary for his roles in software development and technology management. Pardo's expertise includes Natural Language Processing, Machine Learning, and cloud-based systems, which are integral to his work at Bioz.
Technical Contributions
At Bioz, Ehud Pardo has made significant technical contributions, particularly in the development of the Bioz life science search engine. His work involves leveraging advanced technologies such as Natural Language Processing and Machine Learning to enhance search capabilities within the life sciences domain. Additionally, he has been instrumental in the development of the Bioz portal, which integrates various technologies to provide a comprehensive platform for users.