Sidi Chang is an experienced Applied Scientist and ML Engineer with a strong background in Probability, Combinatorics, and simulation. Currently, Sidi works at Amazon as a Software Engineer focusing on optimization and Scala parallel computing, while also serving as an Applied Scientist at Uber, specializing in optimization and simulation. Sidi earned a Bachelor's degree in Computer Science from Huazhong University of Science and Technology and a Master's degree in Computational Operations Research from The College of William and Mary. They are interested in applying their skills to solve real-world problems in quantitative trading, optimization, and other financial fields.
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