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RESEARCH INTERESTS Machine Learning, Statistics and Security in general. In particular:
I was born in Melbourne (Australia) in 1980, received the BSc and BE(hons) degrees with majors in pure mathematics and software engineering from the University of Melbourne in 2002, and then studied towards the MCompSci in the Department of CSSE at the same university under Rao Kotagiri and Marimuthu Palaniswami. While in Melbourne I also worked on low-level microarray analysis with Terry Speed at the Walter & Eliza Hall Institute of Medical Research. In Fall 2004 I became a first year Berkeley EECS PhD student; my advisor is Peter Bartlett. My current research interests focus around machine learning and statistics, with an emphasis on learning theory and its application to computer security; for this work I collaborate with Anthony Joseph's SecML group in the RAD Lab, and Nina Taft and Ling Huang at Intel Research Berkeley where I am currently Visiting Scholar. Last summer I interned at Yahoo! Research with Martin Zinkevich and Jayavel Shanmugasundaram in Computational Advertising; and I interned at Google Research with Phil Long during the previous summer. I recently won a Yahoo! Key Scientific Challenges Award and a Siebel Scholars fellowship. This year I am on the program committee for the AISec 2009 workshop co-located with CCS 2009. I help out in Berkeley's Computer Science Graduate Student Association, where I was previously President. My wife, Juliet Rubinstein, is also an Australian PhD student in Berkeley EECS. (Our wedding and photo websites.) We used to have a son, Lachlan. (Erdös no. 3: Paul Erdös -> Nick Wormald -> J. Hyam Rubinstein -> Ben)
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