Artem Tregubov

Artem Tregubov is a seasoned data scientist with extensive experience in various roles within data science and computer vision. Currently at ID R&D since August 2021, Artem focuses on racial bias alleviation and developing advanced anti-spoofing systems as part of the face anti-spoofing team. Previously, at Sberbank, Artem worked as a Computer Vision Engineer, contributing to SberAutoTech projects. With a background in exploratory data analysis at the Institute of Bioregulation Problems LLC, Artem crafted comprehensive investigative pipelines for organic research. Additionally, Artem has experience as a tutor in Python and mathematics and served as a computer science teacher at the Russian Technological University, where course materials were also developed. Artem holds a Specialist degree in Applied Mathematics from Lomonosov Moscow State University of Fine Chemical Technologies and completed further education at Mail.ru Group.