Center for Theoretical Neuroscience
University of California, Berkeley
575A Evans Hall, MC 3198
Berkeley, CA 94720-3198
Office: 573 Evans Hall
Phone: (510) 642-7252
FAX: (510) 642-7206
Ph.D. U.C. Berkeley (Mathematics,
2001 - 2005)
B.S. Yale University (Mathematics,
Computer Science, 2000)
Currently: Assistant Project Scientist, Redwood Center (through the Helen Wills Neuroscience Institute). Partially supported by the Simons Foundation and an NSF grant.
NSF Joint Institutes
Postdoctoral Fellowship: I was awarded
at the Mathematical Sciences Research Institute
with the following proposal.
MSRI is awesome.
NSA Grant: I was awarded an NSA
Young Investigators Grant. My proposal can
be found here.
Careers in Math: If you've ever wondered what you could do with a math degree (undergrad or otherwise), I highly recommend you check out SIAM's careers in math brochure
Theoretical Neuroscience: I am a mathematician working at the Redwood Center for Theoretical Neuroscience
at the University of California, Berkeley.
New: (with Andre Wibisono) We have a manuscript up: Maximum entropy distributions on graphs. pdf | arxiv
New: (with Ngoc Tran and Kilian Koepsell) Robust exponential binary pattern storage in Little-Hopfield networks. pdf | arxiv
New: With Lek-Heng Lim, we finished our paper about the computational intractibility of some
problems involving tensors. Most tensor problems
are NP-Hard, Journal of the ACM. | pdf | arxiv
With Shaowei Lin and Andre Wibisono, we finished a paper on inverses of symmetric diagonally dominant matrices, with applications to numerical linear algebra and random graph distributions. Inverses of symmetric, diagonally dominant positive matrices and applications, submitted | pdf
(with Jascha Sohl-Dickstein
and Kilian Koepsell) Efficient and optimal binary Little-Hopfield associative memory storage using minimum probability flow, 2011, NIPS (DISCML), 2012. pdf | arxiv.
With Guy Isely and Friedrich Sommer,
we are working on sparse coding combined with compressed
sensing as a principle of brain communication and compression. (NIPS
2010 accepted spotlight submission pdf)
Theory paper preprint: When can dictionary learning uniquely recover sparse data from subsamples? pdf | arxiv.
Research Interests: Structured polynomial
systems, computational algebraic geometry, combinatorics,
matrix analysis, applications of mathematics to