Benjamin Rubinstein
Deputy Dean (Research) at Building 4.0 CRC
Melbourne, Victoria, Australia
Summary
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Senior🎓
Top SchoolBenjamin Rubinstein is a Professor of Computing and Information Systems and Deputy Dean (Research) at the University of Melbourne, combining academic leadership with deep technical expertise in machine learning, AI security and privacy. He holds a PhD from UC Berkeley and spent nearly three years as a researcher at Microsoft Research Silicon Valley where he shipped production systems for Bing and Xbox360 that materially impacted revenue. Since joining Melbourne in 2013 he has progressed through research leadership roles including ARC DECRA fellowship and associate dean positions, driving AI safety research and university research strategy. His background spans top-tier industry research stints at Google, Intel, Yahoo! and IBM, and an uncommon blend of theoretical foundations (learning theory, empirical process theory) with real-world system delivery. Notably, he has bridged academic rigor and product impact by translating security-aware ML research into deployed entity-resolution systems across diverse verticals.
8 years of coding experience
17 years of employment as a software developer
PhD, Electrical Engineering & Computer Sciences, PhD, Electrical Engineering & Computer Sciences at University of California, BerkeleyThe University of MelbourneVisiting Scholar, Computer Science, Mathematics, Statistics, Visiting Scholar, Computer Science, Mathematics, Statistics at Stanford University
Github Skills (7)
differential-privacy10
r-package10
r9
machine-learning9
statistics9
data-science8
privacy7
Programming languages (3)
Github contributions (5)
brubinstein/brubinstein.github.io
Feb 2018 - Mar 2025
Contributions:250 pushes, 1 branch in 7 years 2 months
brubinstein/diffpriv
Jul 2017 - Jul 2022
Easy differential privacy in R
Contributions:1 release, 1 review, 66 commits in 5 years
r-packagestatisticsdata-scienceprivacydifferential-privacy
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