Dr. Ilya Goldberg has spent the majority of his career at the intersection of biology and imaging, and played a leading role in the development of image informatics and machine learning for bio-medical imaging since the emergence of these fields in the late '90s. At ViQi, Ilya leads development of high-throughput 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, where his group developed machine learning software for image processing in biology and medicine, and studied the molecular mechanisms of aging in humans and model organisms. 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 scientific articles from his years at Johns Hopkins, Harvard, MIT, and NIH in molecular and cell biology, pattern recognition, image informatics and the basic biology of aging.