Christopher Hillar


Address:
Redwood
Center for Theoretical Neuroscience
University of California, Berkeley
575A Evans Hall, MC 3198
Berkeley, CA 947203198
Office: 573 Evans Hall
Phone: (510) 6427252
FAX: (510) 6427206
Email: chillarberkeley.edu
(Note: old email address not working lately, so please resend to this one anything recent).
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) and UCSF (Tecott Lab). Partially supported by the Simons Foundation and an NSF grant.
NSF Joint Institutes
Postdoctoral Fellowship: I was awarded
this
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.
Recent Research
New: (with Andre Wibisono) We have a manuscript up: Maximum entropy distributions on graphs. pdf  arxiv
New: With LekHeng Lim, we finished our paper about the computational intractibility of some
problems involving tensors. Most tensor problems
are NPHard, 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. Tight bounds on the infinity norm of inverses of symmetric diagonally dominant positive matrices, submitted. pdf
(with Jascha SohlDickstein
and Kilian Koepsell) Efficient and optimal binary LittleHopfield associative memory storage using minimum probability flow, 2011, NIPS (DISCML), 2012. pdf  arxiv.
With 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.


Research Interests: Structured polynomial
systems, computational algebraic geometry, combinatorics,
matrix analysis, applications of mathematics to
neuroscience 

Recent Talk on Nonliner Algebra: "A potpourri of nonlinear algebra" at the Institute for Computational and Experimental Research in Mathematics (ICERM)  Computational Nonlinear Algebra (June 2  6, 2014)
Talk: A potpourri of nonlinear algebra, slides  video
Abstract:
I will present several examples demonstrating that solving structured polynomial systems has great potential for producing new and interesting mathematics. Along the way, I will present several open conjectures and problems in nonlinear algebra. 
Chris
Hillar 

