Education

• Massachusetts Institute of Technology
  • Ph.D. in EECS, 2014
  • Research Advisor: William T. Freeman
  • Thesis: Model selection in compositional spaces
• Stanford University
  • MS in Computer Science, 2008
  • BS in Symbolic Systems, with honors, 2007
  • Research Advisor: Andrew Y. Ng

Publications

• see here

Invited Talks

• “Exploiting compositionality to explore a large space of model structures.”
  • Brown Pattern Theory Seminar. Providence, RI, Oct. 9, 2013.
  • Gatsby Unit Seminar. London, UK, October 31, 2012.
  • Representation Learning Workshop, International Conference on Machine Learning. Edinburgh, UK, July 1, 2012.
  • University of Massachusetts Amherst Machine Learning and Friends Lunch. Amherst, MA, Apr. 26, 2012.
  • SRI International Sarnoff. Princeton, NJ, Apr. 19, 2012
  • IARPA Automated Machine Learning RFI Workshop. Arlington, VA, Apr. 16, 2012.
• “Shift-invariant sparse coding for audio classification.” International Laboratory for Brain, Music, and Sound Research. Montreal, Canada, Nov. 14, 2008.

Teaching

• Teaching Assistant, 6.438: Algorithms and Inference, 9/11-12/11
• Course Assistant, CS 221: Artificial Intelligence Principles and Techniques, 9/07-12/07
• Section Leader, CS 107: Programming Paradigms, 4/07-6/07

Honors

• 2012 Conference on Uncertainty in Artificial Intelligence (UAI) Best Student Paper
• 2012 Rank Prize Summit on Machine Learning and Computer Vision: Best Student Presentation
• 2009 International Conference on Machine Learning (ICML) Best Application Paper
• Supported by National Defense Science and Engineering Graduate Fellowship (NDSEG), 2009-2012
• Phi Beta Kappa, 2007
• Stanford University J. E. Wallace Sterling Award for Scholastic Achievement, 2007
• William Lowell Putnam Mathematical Competition: top 200 nationally in 2005, top 500 in 2003 and 2006
• Supported by New Jersey Star Ledger Mort Pye Scholarship (four-year, full-tuition merit scholarship), 2003-2007

Updated 5-11-14.