Computer Science PhD Student at UC Berkeley
San Francisco Bay Area
- Current
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- Computer Science PhD Student at UC Berkeley
- Past
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- Visiting Scholar at Intel Research Berkeley
- Intern at Yahoo!
- Intern at Google Inc.
- Teaching Assistant at UC Berkeley - Electrical Engineering & Computer Sciences
- Masters of Computer Science Student at University of Melbourne
- Research Assistant at Walter & Eliza Hall Institute of Medical Research
- Teaching Assistant at University of Melbourne - Computer Science/Electrical Engineering Departments
- Intern at Victorian Partnership for Advanced Computing
- Intern at Lucent Technologies
- Education
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- University of California, Berkeley
- University of Melbourne
- University of Melbourne
- Stanford University
- Connections
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119
connections
- Industry
- Research
- Websites
Benjamin Rubinstein’s Summary
I was born in Melbourne, Australia and received the BSc (pure math) and BE (hons; software engineering) degrees from the University of Melbourne in 2002, and then studied towards the MCompSci at the same university. In Fall 2004 I became a first year Berkeley EECS PhD student in machine learning; my advisor is Peter Bartlett. I was President of the Berkeley CS Graduate Student Association in 2007-08. I have interned at Google Research and Yahoo! Research, the latter experience leading to a patent application on bidding for display advertising.
My research interests focus around machine learning & statistics, and their application to security. Recently I have worked on privacy-preserving learning, effective CISO-level reactive security using online learning, robust statistics for anomaly detection, subverting learning used in email spam and anomaly detection, mining large-scale social networks, and adaptive bidding for display advertising.
I am graduating May 2010, and will be looking for machine learning research opportunities in the Bay Area early 2010.
Benjamin Rubinstein’s Specialties:
Machine learning & statistics, security & privacy
Benjamin Rubinstein’s Experience
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Computer Science PhD Student
UC Berkeley
(Educational Institution; 10,001 or more employees; Higher Education industry)
August 2004 — Present (5 years 4 months)
Research in learning theory, at the boundary of Computer Science (Artificial Intelligence) and Statistics (Empirical Process Theory).
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Visiting Scholar
Intel Research Berkeley
(Public Company; INTC; Semiconductors industry)
March 2009 — October 2009 (8 months)
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Intern
Yahoo!
(Public Company; 10,001 or more employees; YHOO; Internet industry)
May 2008 — August 2008 (4 months)
Yahoo! Research - Computational Advertising (& Machine Learning)
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Intern
Google Inc.
(Public Company; 10,001 or more employees; GOOG; Internet industry)
July 2007 — September 2007 (3 months)
Machine Learning Theory in Google's Research Division, located in Mountain View, CA.
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Teaching Assistant
UC Berkeley - Electrical Engineering & Computer Sciences
(Educational Institution; 10,001 or more employees; Higher Education industry)
August 2006 — December 2006 (5 months)
TA for (CS70) Discrete Mathematics and Probability Theory, a first course on the Theory of Computer Science for sophomore's in Berkeley Computer Science. Taught under Prof. Christos Papadimitriou and Prof. Umesh Vazirani.
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Masters of Computer Science Student
University of Melbourne
(Educational Institution; Higher Education industry)
January 2003 — July 2004 (1 year 7 months)
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Research Assistant
Walter & Eliza Hall Institute of Medical Research
(Educational Institution; Biotechnology industry)
June 2002 — June 2004 (2 years 1 month)
Research into algorithms for analyzing low-level output of Affymetrix DNA microarrays, under Prof. Terry Speed in the Division of Genetics & Bioinformatics.
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Teaching Assistant
University of Melbourne - Computer Science/Electrical Engineering Departments
(Educational Institution; 10,001 or more employees; Higher Education industry)
March 2003 — November 2003 (9 months)
Demonstrator in charge of (431-469) Multimedia Signal Processing, a senior course on basic Computer Vision, Neural Networks and Support Vector Machines in Electrical & Electronic Engineering.
TA for (433-303) Artificial Intelligence, a junior introductory course on A.I in Software Engineering & Computer Science.
Head TA for (433-521) Algorithms and Complexity, a professional masters course introducing algorithms (sorting, searching, data structures) in Software Engineering & Computer Science. -
Intern
Victorian Partnership for Advanced Computing
(Non-Profit; 11-50 employees; Research industry)
December 2001 — March 2002 (4 months)
Development of a supercomputer implementation of a data mining system.
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Intern
Lucent Technologies
(Public Company; ALU; Telecommunications industry)
December 2000 — February 2001 (3 months)
Development of link statistics software for a cable modem multiplexer in the Inter-networking Services Dept.
Benjamin Rubinstein’s Education
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University of California, Berkeley
2004 — 2010 (expected)
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University of Melbourne
BSc , Pure Mathematics , 1999 — 2002
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University of Melbourne
BEng (1st Hons) , Software Engineering , 1999 — 2002
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Stanford University
Visiting Scholar , Computer Science, Mathematics, Statistics , 2000 — 2000
Additional Information
Benjamin Rubinstein’s Websites:
Benjamin Rubinstein’s Groups:
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The University of Melbourne Alumni Association -
Friends of Australia -
Yahoo Employees and Alumni Group -
Machine Learning Connection
Benjamin Rubinstein’s Honors:
2009-10 Siebel Scholar Foundation Fellowship
2009 Yahoo! Key Scientific Challenges Award
2008 RAID08 Best Poster Award
2004-05 University UC Regents Fellowship, UC Berkeley
2003-04 Victorian Government ICT Scholarship
2003-04 Puzey Postgraduate Research Scholarship, University of Melbourne, Australia
2002 Young Australian of the Year Victorian Finalist
2002 IEEE Computer Society Lance Stafford Larson, Outstanding Undergraduate Paper Award
2001 Varian Australia Prize for Outstanding Junior CS Undergraduate, University of Melbourne, Australia
2000 Lucent Technologies Global Science Scholarship
2000-02 Engineering Dean's Honours List, University of Melbourne, Australia
1999 University of Melbourne Study Abroad Scholarship to Stanford University
1999-02 Faculty of Engineering Scholarship, University of Melbourne, Australia
1999 Academic Head (Proxime Accesserunt), Melbourne Grammar School, Australia
Benjamin Rubinstein’s Contact Settings
Interested In:
- career opportunities
- consulting offers
- new ventures
- expertise requests
- reference requests
- getting back in touch
