Itinerary for the Summer

A few things that may interest people.

1. I'm going on the job market in the fall. I'm looking for lectureships, tenure tracks, possibly 2 year postdocs if they are really interesting.

2. I'm very interested in adding visits, adding seminars, adding anything interesting to this itinerary. If you want to meet me, send me a note, and I'm sure we can find time. My email adress is easy to google, and listed in the site info here.
I have current research and survey talks mostly ready to go for:
Barcodes and the topological analysis of data: an overview
In the past decade, the use of topology in explicit applications has become a growing field of research. One fruitful approach has been to view a dataset as a point cloud: a finite (but large) subset of a Euclidean space, and construct filtered simplicial complexes that capture distances between the data points. Doing this, we can translate any topological functor into a functor that acts on these filtered complexes, and reinterpret the results from the functors into information about the dataset. I'll illustrate the basic results from the field, and give an overview of where my own research fits into the emergent paradigm.
Persistent cohomology and circular coordinates
Using a new variety of the algorithms described by Zomorodian, we are able to compute cohomology persistently, use persistence to pick out topologically relevant cocycles, and convert these into circle-valued coordinates. This allows us to generate topological coordinatizations for datasets, opening up for new approaches to data analysis.
Dualities in persistence
Starting out with a point cloud, the use of the barcode of persistent Betti numbers to characterize properties of the point cloud is well known. Expanding the amount of information we extract, we are led to study persistent homology and cohomology, in both an absolute manner, studying H(Xi), and in a relative manner, studying H(X; Xi). We are able to show that these four possible homology functors are related by dualization functors Homk(-, k) and Homk[x](-, k[x]), and are able to use this to translate between all four corners. This way, we can choose to compute our barcodes in whatever situation an application motivates, and translate the resulting the barcode into whatever situation we want to interpret.
Period recognition with circular coordinates
In work joint with Vin de Silva and Dmitriy Morozov on computing circular coordinates for datasets may be used in the analysis of dynamical systems and in signal processing. We have experimental results that show a high resistance to spatial noise in reconstructing the period of a periodic process while avoiding Fourier transforms and running differences. Ideally, the use of algebraic topology in time series analysis for dynamical systems and signals will complement existing methods with more noise-robust components, and I discuss to some extent how this may be achieved.
Implementing Gröbner Bases for Operads
In a paper by Dotsenko and Khoroshkin, a Buchberger algorithm is defined in an equivalent subcategory of the category of symmetric operads. For this subcategory, they prove a Diamond lemma, and demonstrate how the existence of a quadratic Gröbner basis amounts to a demonstration of Koszularity of the corresponding finitely presented operad. During a conference at CIRM in Luminy, me and Dotsenko built an implementation of their work. I'll discuss the implementation work, and what considerations need to be taken in the implementation of Gröbner bases for operads.
Parallelizing multigraded Gröbner bases
In work together with Emil Sköldberg and Jason Dusek, we use the lattice of degrees for a multigraded polynomial ring to parallelize Gröbner basis computations in the multigraded ring. We show speedups in implementations in Haskell using Data Parallel Haskell and the vector package, as well as in Sage using MPI for parallelization and SQL for abstract data storage and transport.
The topology of politics
While the use of data analysis in political science is a mature field, the development of new data analysis methods calls for updates in the choice, use and interpretation of these methods. We set out to investigate the use of the topological data analysis methods worked out at Stanford on political datasets in an ongoing research project. I'll illustrate initial results, partly well-known, on the geometry and topology of parliamentary rollcall datasets.
Stepwise computing of diagonals for multiplicative families of polytopes
In recent work together with Ron Umble, we demonstrate a way to use basic linear algebra to compute cellular diagonal maps for families of polytope such that each face of each polytope in the family is given by products of other polytopes in the same family. Using the algorithm we describe, we are able to recover the Alexander-Whitney diagonal on simplices, the Serre diagonal on cubes as well as the Saneblidze-Umble diagonal on associahedra.
3. This summer, I will be present at :