- 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
- “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 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
- 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