Xin Yang

Predictive Food Formulation Lead

Xin Yang is a seasoned professional with over a decade of experience at Ingredion Incorporated, currently serving as the Predictive Food Formulation Lead since November 2010. In this role, Xin Yang advances predictive formulation capabilities through AI/ML, designs and implements database schemas for managing R&D data, and develops interactive user interfaces using Flask. Previous positions at Ingredion include Business Scientist and Senior Associate, focusing on Global Savory Applications and Material Science. Prior experience includes a Postdoctoral position at North Carolina State University, where Xin Yang developed mathematical models for predicting cheese texture attributes and contributed to notable publications. Academic credentials include a Master's Degree in Computer Science from Arizona State University, a PhD in Food Science from North Carolina State University, and both a Master of Engineering and a Bachelor of Engineering in Food Science and Technology from Jiangnan University.

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