My academic experience is a bit limited because I decided to pursue an industry job after I finished my doctoral studies, but still there are many projects, research and experiences that are worth highlighting here.
Simple python module to read Gadget snapshot (type 1).
Here you can find the ideas of the on-going projects which I'm involved.
Being the main topic of my PhD thesis, I'm currently involved in a few projects that study the dynamical evolution of black hole binaries in gas rich environments, but also considering the gas properties and how we can get some information related to circum-binary structures.
For this topic, I use Gadget, which is a cosmological N-body/Smooth Particle Hydrodynamics code.
Currently, two-papers are in progress related to this topic,
which will be ready on 2017.
Collaborators: F. Goicovic, L. del Valle, A. Sesana, M. Dotti, P. Amaro-Seoane
During my Master, I decided to study astrophysical simulation of N-body systems which became the first project for my PhD. I developed GraviDy to be able to have a well structured code as base for future projects.
Collaborators: P. Amaro-Seoane
Inmmunohistochemistry (IHC) analysis is a common practice to evaluate the evolution of different types of cancer. This process needs a biomarker to identify the cell membrane, like the Human Epidermal growth factor Receptor 2 (HER2). To study this images, one can use different texture features at a pixel-level, to be able to get the changes in the cells and classify them.
I'm currently helping Raquel Pezoa on this project, adapting a code that calculate the Haralick texture features of these images, to run in a large HPC clusters.
Accretion of clumpy cold gas onto massive black hole binaries: the challenging formation of extended circumbinary structures C. Maureira-Fredes, F. G. Goicovic, A. Sesana, P. Amaro-Seoane (Monthly Notices of the Royal Astronomical Society, Volume 478, Issue 2, p1726-1748), 2018
Accretion of clumpy cold gas onto massive black hole binaries: a possible fast route to binary coalescence F. G. Goicovic, C. Maureira-Fredes, P. Amaro-Seoane, A. Sesana (Monthly Notices of the Royal Astronomical Society, accepted), 2018
GraviDy: a GPU modular, parallel N-body integrator C. Maureira-Fredes, P. Amaro-Seoane (Monthly Notices of the Royal Astronomical Society, Volume 473, Issue 3, p.3113-3127), 2018
Retrograde binaries of massive black holes in circum-binary accretion discs P. Amaro-Seoane, C. Maureira-Fredes, M. Dotti, M. Colpi Astronomy & Astrophysics, Volume 591, id.A114, 12 pp, 2016
Super massive black holes in star forming gaseous circumnuclear discs L. del Valle, A. Escala, C. Maureira-Fredes, J. Molina, J. Cuadra, P. Amaro-Seoane The Astrophysical Journal, Volume 811, Issue 1, article id. 59, 12 pp, 2015
A Feed Forward Neural Network in CUDA for a Financial Application. R. Bonvallet, C. Maureira, C. Fernández, P. Arce, A. Cañete. 10th World Congress on Computational Mechanics, 2014
Forecasting High Frequency Financial Time Series Using Parallel FFN with CUDA and ZeroMQ. P. Arce, C. Maureira, R. Bonvallet, C. Fernández. Information and Telecommunication Technologies (APSITT), 2012 9th Asia-Pacific Symposium on, 2012
High performance graphical data trending in a distributed system C. Maureira, A. Hoffstadt, J. López, N. Troncoso, R. Tobar, H. von Brand Proc. SPIE 7740, Software and Cyberinfrastructure for Astronomy, 2010
Introducing high performance distributed logging service for ACS J. Avarias, J. López, C. Maureira, H. Sommer, G. Chiozzi Proc. SPIE 7740, Software and Cyberinfrastructure for Astronomy, 2010