My research interests are machine learning, scientific computing, time series analysis and recently RNA-seq analysis.
GlobalSeaweedSTAR: Funded by GCRF
Oceanids C2: Funded by NERC
ALFF: Funded by EU H2020
COMPASS: Funded by EU Interreg 5A via SEUPB
EMBRIC: Funded by EU H2020
Rad-Menéndez, C., Gerphagnon, M., Garvetto, A., Arce, P., Badis, Y., Sime-Ngando, T. and Gachon, C.M., 2018. Rediscovering Zygorhizidium affluens Canter: Molecular Taxonomy, Infectious Cycle, and Cryopreservation of a Chytrid Infecting the Bloom-Forming Diatom Asterionella formosa. Appl. Environ. Microbiol. 84(23), pp. e01826-18
P Arce, J Antognini, W Kristjanpoller, L Salinas. Fast and Adaptive Cointegration Based Model for Forecasting High Frequency Financial Time Series. Computational Economics, 1-14
P. Arce, J. Antognini, W. Kristjanpoller and L. Salinas (April 2016) Fast and adaptive cointegration based model for forecasting high frequency financial time series. Fourth International Symposium in Computational Economics and Finance. Paris, France.
P. Arce, J. Antognini, W. Kristjanpoller and L. Salinas (Jan 2015) An Online Vector Error Correction Model for Exchange Rates Forecasting. International Conference on Pattern Recognition Applications and Methods. Lisbon, Portugal.
P. Arce and L. Salinas (Nov 2012) Online Ridge Regression method using sliding windows. International Conference of the Chilean Computer Science Society SCCC. Valparaíso, Chile.
R. Bonvallet, C. Maureira, C. Fernández and P. Arce (Nov 2012) Forecasting financial time series using parallel FFN with CUDA and ZeroMQ. 9th Asia-Pacific Symposium on Information and Telecommunication Technologies APSITT. Santiago, Chile.
R. Bonvallet, C. Maureira, C. Fernández, P. Arce and A. Cañete (Jul 2012) A Feed Forward Neural Network in CUDA for a Financial Application. Tenth World Conference on Computational Mechanics WCCM. Sao Paulo, Brazil.
P. Arce, A. Cañete, C. Fernández, R. León, O. Orellana, R. Plaza and L. Salinas (May 2011) A cointegration approach for generating synthetic prices of High Frequency Time Series. Tercer Congreso de Matemática Aplicada. Computacional e Industrial MACI. Bahía Blanca, Argentina.
Since June 2016 Computer and Informatics Analyst. SAMS
2009-14 Project Engineer. Centre for Technological Innovation on High Performance Computing
2010-12 Scientific Computing Lecturer. UTFSM
2008 Researcher. University of Bristol
2007-07 Quality Assurance Engineer. Airsage Inc
2017 PhD in Informatics Engineering. UTFSM, Chile
2008 Master of Science. UTFSM, Chile
2008 Computer Systems Engineer. UTFSM, Chile