Dr. Ilya Goldberg has played a leading role in the development of image informatics and machine learning for bio-medical imaging. At ViQi, Ilya leads development of automated cell-based imaging assays using AIs. Prior to ViQi, Ilya co-founded a company that developed the first medical device to receive regulatory clearance that uses an AI to help diagnose lung cancer in CT screening exams. Prior to this, Ilya led a research group at the NIH National Institute on Aging, developing machine learning software for image analysis in the life sciences, and studying the basic biology of aging. As a postdoc at MIT, Ilya co-founded the OME project, which continues to be used for imaging infrastructure in large image repositories. Ilya has over 60 peer-reviewed articles from his years at Johns Hopkins, Harvard, MIT, and NIH in molecular and cell biology, pattern recognition, image informatics, and aging.