| | daniel.ortiz.phd@gmail.com | |
| | es.linkedin.com/in/daormar | |
GitHub | | | https://github.com/daormar |
CV in PDF format |
Daniel Ortiz Martínez is an assistant professor at the Mathematics and Computer Sciences Department of the University of Barcelona. His research interests are focused on the fields of machine learning and data science and their application in biomedical and natural language processing research. Daniel has worked in several research projects, including the MIPRCV project (funded by the Spanish Government and the European Commission within the Consolider programme) and the CASMACAT project (funded by the European Commission under the Seventh Framework Programme). He has published more than 50 research papers in international conferences and journals and has co-supervised one PhD thesis. Additionally, he has served as a scientific reviewer for the European Commission as well as for different scientific and program committees of conferences and journals. Daniel is also the creator and maintainer of various open source software packages.
Jun 2020-Jan 2021
Oct 2019-Jan 2021
Apr 2018-May 2020
Sep 2018-Aug 2019
Feb 2016-Mar 2018
Mar 2017
April 2015-Jan 2016
Dec 2010-Jan 2016
Feb 2012-Dec 2014
Mar 2011-May 2011
Jul 2008-Jan 2012
Mar 2003-Jun 2008
Oct 2016
Oct 2011
Nov 2005
Jan 2003
Daniel is the creator and maintainer of the Thot toolkit for statistical machine translation. This toolkit, written in C, C++, Python and shell scripting and publicly available under LGPL license, is composed of more than 50 000 lines of code and offers many useful tools for statistical modelling and search in the field of statistical machine translation. The Thot toolkit is strongly focused on the use of online learning techniques to incrementally train statistical model parameters. Among the different functionalities provided by the toolkit, Thot implements a version of the incremental EM algorithm for HMM models that can be applied on datasets of an arbitrary size using Map-Reduce. The Thot toolkit has been one of the two official statistical toolkits used within the CASMACAT project.
Daniel is also the author of the PanPipe Workflow Manager, a software package to execute general pipelines. The pipelines executed by PanPipe are composed of steps that are implemented in modules. The Bio-PanPipe package provides modules related to bioinformatics.
Daniel also created and currently maintains two additional software packages related to bioinformatics: the Flux Capacitor toolkit for systems biology and the snptools package useful to work with single nucleotide polymorphisms (SNPs).