Benjamin RubinsteinBenjamin Rubinstein
Senior Lecturer (equiv US Assistant Professor)
Dept. Computing & Information Systems
The University of Melbourne, Australia 

Fellow, Centre for Business Analytics, Melbourne Business School

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Office 7.21 Doug McDonell Building

Juliet & Ella   Liam   Lachlan

Interests: Statistical Machine Learning, Security & Privacy, Databases, Industry Engagement, Strategy

Bio: Ben joined the University of Melbourne in 2013 as a R@MAP appointee, as a Senior Lecturer in Computing and Information Systems. Previously he gained four years of US industry experience in the research divisions of Microsoft, Google, Intel and Yahoo!; followed by a short stint at IBM Research Australia. As a full-time Researcher at Microsoft Research, Silicon Valley for close to 3 years, Ben shipped production systems for entity resolution in Bing and the Xbox360 (driving huge success accounting for revenues in the $100m's); he actively researches topics in machine learning, security, privacy, and databases. Ben earned the PhD in Computer Science from UC Berkeley under Peter Bartlett in 2010, collaborating closely with the SecML group, at the boundary of machine learning and security.

2015-Jan : I have open positions for motivated PhD students/postdoc.



Other News

  • 12/2014: Excellence in Research Award 2014, Dept CIS, University of Melbourne
  • 11/2014: Facebook (Menlo Park) talk Data Integration through the Lens of Statistical Learning


  • PhD students
    • Yamuna Kankanige (w James Bailey 2015 - )
    • Zay Aye - CompSci (w Rao Kotagiri 2014 - )
    • Maryam Fanaeepour - CompSci (w Lars Kulik, Egemen Tanin 2014 - )
    • Jiazhen He - CompSci (w James Bailey, Rui Zhang 2014 - )
    • Zuhe Zhang - Maths & Stats (w Sanming Zhou 2014 - )
  • Masters students
    • Samuel Jenkins, Soundarya Mallemarapu - UoM CompSci (Masters 2014 - )
    • Rui Hu, Justin Liang, Nouras Fatima, Zhe Lim - UoM CompSci (Masters 2014)
  • Interns from Microsoft Research


  • Melbourne Business School, Master of Business Analytics, Statistical Learning: 2015 Winter
  • COMP90051 Statistical & Evolutionary Learning (co-taught): Semester 2, 2013-
  • COMP10002 Foundations of Algorithms: Semester 1, 2014-










Pre 2007