David Freeman is a research scientist/engineer at Facebook working on integrity problems, with a particular focus on fake engagement, scraping, and automation detection. He previously led anti-abuse engineering and data science teams at LinkedIn. He is an author, presenter, and organizer at international conferences on machine learning and security, such as Enigma, NDSS, WWW, and AISec, and has written (with Clarence Chio) a book on Machine Learning and Security published by O'Reilly. He holds a Ph.D. in mathematics from UC Berkeley and did postdoctoral research in cryptography and security at CWI and Stanford University.