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Susan Landau (born 1954) is an American mathematician, engineer, cybersecurity policy expert, and Bridge Professor in Cybersecurity and Policy at the Fletcher School of Law and Diplomacy at Tufts University. and She previously worked as a Senior Staff Privacy Analyst at Google. She was a Guggenheim Fellow and a visiting scholar at the Computer Science Department, Harvard University in 2012. Susan Landau at LinkedIn
In 2010–2011, she was a Fellow at the Radcliffe Institute for Advanced Study at Harvard, where she investigated issues involving security of government systems, and their privacy and policy implications.
From 1999 until 2010, she specialized in internet security at Sun Microsystems.
In 1989, she introduced the first algorithm for deciding which can be denested, which is known as Landau's algorithm.S. Landau, "Simplification of Nested Radicals", SIAM Journal of Computation, volume 21 (1992), pages 85–110.[2]
In 1972, her project on odd won a finalist position in the Westinghouse Science Talent Search. Outside of her technical work, she is interested in the issues of women in science, maintaining the ResearcHers Email list, a "community dedicated to supporting women new to research in computing", and an online bibliography of women's writing in computer science. She was awarded the 2008 Anita Borg Institute Women of Vision Award for Social Impact. She has been a fellow of the American Association for the Advancement of Science since 1999, and in 2011 she was inducted as a Fellow of the Association for Computing Machinery. In 2012, Landau won the Surveillance Studies Network Book Prize for her book Surveillance or Security? The Risks Posed by New Wiretapping Technologies, published by MIT Press. In October 2015, Landau was inducted into the National Cyber Security Hall of Fame.
Landau testified that making less secure would simply send terrorists and bad actors running toward options that the FBI and Congress had no control over. Compelling Apple to weaken its software would "weaken us, but not impact the bad guys."
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