Lior Uzan

Lior Uzan is an applied researcher currently working at Airis Labs since February 2024. Previously, Lior contributed to SignalPET® from May 2023 to January 2024, focusing on an auto-diagnosis NLP project that involved parsing veterinary literature and designing a GraphDB system for medical rule management. Lior volunteered at Wildlife.ai between March 2022 and May 2023, assisting in the Pepeketua ID project aimed at conserving a critically endangered frog species in New Zealand. At Trigo, from August 2018 to February 2022, Lior established infrastructure for image classification and led a model calibration project. An internship at eBay in 2017 involved the implementation of a single-stage detection solution for a visual search application. Lior holds both a Master of Science and a Bachelor of Science degree in Mathematics and Computer Science from Tel Aviv University.