About

Yuan Xie is a highly skilled machine learning practitioner with over 3 years of relevant experience. Currently, he is working as an Applied Scientist II at Microsoft, where he is involved in developing cutting-edge machine learning models for various projects. Prior to this, Yuan has also worked as a Data Scientist Intern at Microsoft, where he was part of the Cognitive Service team under Applied AI. He has also worked as a Machine Learning Software Engineer Intern at Facebook, where he designed and implemented a knowledge distillation based framework for augmenting ads ranking models in the Ads Ranking team. Yuan has an impressive educational background, with a Doctor of Philosophy (Ph.D.) in Computer Science from Indiana University, a Master's degree in Computer Science from Carnegie Mellon University, and another Master's degree in Computer Science from Tsinghua University. He also holds a Bachelor's degree in Computer Software Engineering from Anhui University. With his diverse educational background and relevant experience, Yuan possesses a wide range of technical skills, including expertise in research, machine learning, artificial intelligence, data science, and software engineering. He is a proficient Research Scientist, with a deep understanding of the latest developments in the field of machine learning. Overall, Yuan Xie is a highly motivated and skilled machine learning practitioner, with a proven track record of delivering exceptional results. He is passionate about his work and is always looking for new and innovative ways to apply his skills and expertise to real-world problems.