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Computer Vision Researcher with 8 years of experience in modeling machine learning problems for computer vision, including image classification, video activity recognition and object detection. Published 13 articles in conferences and journals (1k+ citations on Google scholar), including top tier venues such as CVPR and IEEE Transactions on Information Forensic and Security. Strong skills in error analysis, tailoring problem formulations for specific tasks, building vision datasets from multiple sources of
I obtained my Ph.D. from ÉTS Montreal in 2019. My research was focused on the biometric task of Offline Handwritten Signature Verification. I also have a master's in Computer Science, in which I explored Deep Learning models for Texture Classification. I participated in the 2017 and 2018 NIPS competition on adversarial attacks/defenses, and my team got 1st place on the "Untargeted attacks" track in the 2018 edition. I also participated in two editions of the Deep Learning Summer School organized by the MILA
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