Tseng-Hung Chen is a Senior Quantitative Researcher at Kronos Research since June 2019, with experience in developing Alpha Momentum high-frequency trading strategies across various asset classes, optimizing execution strategies for principal trading, and implementing long-term crypto trading solutions. Prior to this role, Tseng-Hung served as a CV/ML Intern at Appier in 2017, where a landmark detection model was developed for the DeepFashion benchmark, enhancing fashion item retrieval capabilities. Tseng-Hung holds a Master of Science in Electrical Engineering and a Bachelor of Science in Electrical Engineering and Computer Science from National Tsing Hua University, completed in 2017 and 2015, respectively.
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