Taesung Shin is an IT specialist in the Quality and Safety Assessment Research Unit of USDA ARS. He received his Ph.D. in statistics from Iowa State University and joined StatSoft to develop statistical and data mining modules for their product STATISTICA as manager of analytical solutions. He was also a senior software engineer developing business intelligence systems at the information analytics division of Caterpillar before working at USDA ARS. Since his arrival in USDA-ARS, he has developed numerous systems for egg crack detection, wooden breast identification, poultry inspection, egg grading information management, bacterial detection, blueberry firmness classification using image processing, hyperspectral microscope imaging, and deep learning.