Daniel Lin (Chun-Yu)

Daniel (Chun-Yu) Lin is a data scientist with extensive experience in machine learning applications, specializing in natural language processing and data analysis. Currently, Daniel serves as a Data Scientist at Vertiv and also holds a position as a Data Scientist Fellow at Techlent, focusing on sales data modeling and fraud detection. Previous roles include Staff Fellow and Data Scientist at the FDA, where Daniel worked on predictive modeling and machine learning algorithms, and Research Associate at the University of North Texas, where a novel computational algorithm using feed-forward neural networks was developed. Daniel's academic background includes a PhD in Materials Science and Engineering and a Master's in Analytical Chemistry, complemented by proficiency in various programming languages and data analysis tools.