Thomas Kurtzman is an American physical chemist most notable for his research into the use of convolutional neural networks (CNNs) to improve pharmaceutical design. According to Bioworld, Kurtzman's research "reached the devastating conclusion that 'the entirety'" of apparent deep learning produced over the course of several years by a CNN dataset highly regarded in academia and industry was illusory. The perceived scientific progress, Kurtzman wrote, was due to CNNs' effective learning of the deficiencies in the dataset. "This is alarming," the article continued, "as companies have been built on this research.