David Freeman is an accomplished researcher and engineer with extensive experience in cryptography, data science, and security. Freeman began as a Summer Research Intern at Hewlett-Packard Labs, where a new family of elliptic curves for cryptography was discovered, later incorporated into an international standard. Further internships at Microsoft Research involved designing algorithms for hyperelliptic curves, while a role as a Data Science Fellow at Insight Data Science focused on analyzing airline delays. At Meta, Freeman works as a Research Scientist/Engineer, leading efforts to tackle spam and fake engagement while publishing work in security and privacy. Previous positions include Senior Security Data Scientist and Manager of Security Data Science at LinkedIn, where responsibilities encompassed fraud prevention and the development of algorithms to combat abuse. Academic credentials include degrees from Harvard University, the University of Cambridge, and the University of California, Berkeley, culminating in a Ph.D. in Mathematics.
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