David Freeman is a research scientist/engineer at Facebook working on integrity and abuse problems. He previously led anti-abuse engineering and data science teams at LinkedIn, where he built statistical models to detect fraud and abuse and worked with the larger machine learning community at LinkedIn to build scalable modeling and scoring infrastructure. He has published numerous academic papers on aspects of computer security and recently co-authored 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.