Fangdi Wen

Fangdi Wen is a Principal Data Scientist at Diamond Foundry, where initiatives include launching a pioneering machine learning project focused on analyzing diamond growth and contributing to advanced failure analysis efforts. Previously, Fangdi served as a Senior Process Engineer at Rutgers University–New Brunswick and participated as a PhD researcher at Nokia Bell Labs, engaging in projects related to powder coating analysis and electrical system development. Fangdi has also completed various data science boot camps, gaining expertise in machine learning processes and natural language processing. Educational background includes a PhD in Condensed Matter and Materials Physics from Rutgers University and a Bachelor's degree in Condensed Matter Physics from the University of Science and Technology of China.