Ohad Silbert

Ohad Silbert, Ph.D. has a diverse work experience spanning over two decades. Ohad is currently working as the Director of Data Science Research at Wiliot since November 2022. Prior to this role, they served as a Senior Data Scientist at Wiliot from December 2021 to November 2022.

Before joining Wiliot, Ohad worked at Algotec for a significant period. From December 2019 to December 2021, they held the position of Algorithms Group Leader, overseeing two teams involved in computer vision research in medical images. Ohad'smain focus was on Deep Neural Networks (DNNs) for classification, detection, and semantic segmentation, while also dealing with signal processing, image processing, and classical computer vision challenges. From December 2012 to December 2019, Ohad served as an Algorithms Developer at Algotec, specializing in computer vision in medical images, using both classical computer vision and deep learning techniques. Ohad also worked on signal processing of dynamic medical images.

Earlier in their career, Ohad worked as a Software Engineer at Algotec from January 2000 to September 2001. Ohad was a C++ and Java software engineer and led the infrastructure team.

Overall, Ohad Silbert, Ph.D. has demonstrated expertise in data science research, computer vision in medical images, deep learning, signal processing, and software engineering throughout their career.

Ohad Silbert, Ph.D. completed their education in a chronological order. Ohad began their studies in 2001 at Tel Aviv University, where they pursued a Bachelor of Science degree in Physics. After completing their undergraduate studies in 2005, they continued their education at the Weizmann Institute of Science. From 2005 to 2008, they pursued a Master of Science degree in Particle Physics at the same institution. Silbert then furthered their studies at the Weizmann Institute of Science, where they obtained their Ph.D. in Particle Physics, completing their doctoral studies from 2008 to 2012.