We enjoy it. It's what we do best.
We have worked on complex problems in astronomy, applied physics, mining, geophysics, and telcommunications.
We don't want to waste your time. The first thing we need to do is understand your problem. Then we can say whether we can help.
Please, send a short email to firstname.lastname@example.org, with contact details, and we can talk.
Recent projects include:
Geometric analysis and resitution, using graph theory and differential geometry, of geological specimens to evaluate mineral deposits.
Characterisation of random compact sets using geometric covariance and two point statistics to study the distribution of bubble sizes in flotation cells - used to recover minerals in mining.
Texture synthesis (with statistical tools and combinatorial optimisation).
Automatic mineral classification from optical images. Initial prototype for oxides.
Using diffusion filters to selectively smooth optical images of geological samples.
Nondeterministic search of large databases to cross-match astronomical images.
Indexing and search of image databases.
Design and implementation of domain specific languags (DSLs).
Alvaro is Chilean. He is a civil engineer in computer science (University of Chile) and currently works as a research associate at ALGES. Before that he worked in the NOAO Data Products Program (DPP), based in La Serena at the CTIO, working with colleagues here and in the USA.
Past projects include:
Efficient 2D, two-sample Kolmogorov-Smirnov test (non-parametric comparison of populations in 2D).
Automated calibration of seismic sensors.
Store for numerical data products with extensible types (automatic generation of database schema (SQL DDL), data loading, search, and retrieval, and associated XML schemas). Database designed to be shardable at the application level. Accessible over HTTP (HTML, REST).
Simulated annealing to generate attractive layout of complex graph (GUI display for status and control of a system composed of many connected components).
GPU calculation of seismic semblance. Factor of 100 speedup over CPU.
Recursive descent Python parser (implemented via trampolining with generators).
Processing package for IR spectra in astronomy.
Automated fitting of complex, multi-component models to spectral data, including associated error estimates.
Andrew is English, but lives in Chile, and has done the majority of his professional work as a telecommuter. He has a BA in natural sciences (ie. physics) and a PhD in astronomy from the University of Cambridge. Currently he works for the geophysics conultancy ISTI.