I recently returned from SPARS09, a small workshop dedicated to sparse approximation and compressed sensing. It was held in St Malo, France. I presented a paper on model selection and nonnegative matrix factorization.
My research this year has primarily been focused on rates of convergence for learning tree structured graphical models. This work, co-authored with A. Anandkumar, L. Tong and my advisor Alan Willsky, has been accepted to ISIT 2009 and the longer version has been posted on arXiv.
I'll be interning at Microsoft Research again this summer. It should be interesting because I can do machine learning on real data.
I took a class on measure theory and functional analysis this semester. I think both subjects are absolutely fascinating. The next thing I would like to learn is Geometry on Manifolds.