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Qifeng Zhou is a data scientist at Sellics, specializing in the development of machine learning algorithms for automated bidding in Amazon advertising auctions since June 2019. Prior to this role, Qifeng worked as a freelancer and gained experience in data science projects, including a self-driving car nanodegree from Udacity and full-stack web development from freeCodeCamp. Qifeng has a rich research background, serving as a research scientist at the University of Tübingen, where biomarker analysis was conducted, and as a visiting scientist at Genethon, focusing on genomic deletions detection. Earlier positions included roles as a research assistant at the University of Tübingen and the University of Freiburg, along with an internship at the Institute of Microbiology, CAS. Qifeng holds a Master's degree in Cell Biology from Lanzhou University and a Bachelor's degree in Biotechnology from Northwest Normal University.