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Oscar has 15+ years of experience with machine learning and software engineering, most recently spending 6 years at Google Research. At Google, Oscar did research on neural architectures and loss shaping for language- and video understanding problems. He has worked across the stack on problems ranging from question answering, query understanding, search ranking, machine translation, and video generation, deploying state of the art models at Google scale. Prior to this, Oscar did 3 internships at Google Research and earned a PhD in Computational Linguistics from Uppsala University after obtaining a MSc from KTH. Oscar took his first steps with coding at age seven and first got in contact with neural networks for digit recognition at ReadSoft in 1999, while still in high school.