Yumin Liu is an Applied Scientist at Amazon, where they have contributed to various projects, including fraud detection models and prompt engineering for large language models. Yumin is currently a PhD student at Northeastern University, specializing in Electrical and Computer Engineering with a focus on machine learning techniques such as clustering and Gaussian processes. They previously interned at Philips, where they studied uncertainty quantification in deep learning, and held a field manager intern position at Hongsheng Group. Yumin holds a Doctor of Philosophy degree from Northeastern University, a Master of Engineering from Southeast University, and a Bachelor of Engineering from Zhejiang University.
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