• Uncategorized

Saber Akhondi was born in Iran, September 1982. He obtained his MSc degree in Bioinformatics and Systems Biology from Chalmers University of Technology, Sweden, in 2011. He did his thesis at AstraZeneca in 2010 with the title of "Integrating heterogeneous ranked sources with different reliabilities: A case study of Gene-Disease associations".

In 2011 he started working as a Scientist and a Vocabulary developer at AstraZeneca R&D Molndal, Sweden, where he was mainly involved in two projects called iSIM and Pharmaconnect.

In December 2011 he started as a PhD student within the biosemantics group. His research is aimed at Exploring Chemical and Biological Named Entity Recognition (Chemical NER, BioNER) in drug discovery. The project is a collaboration between AstraZeneca and the department of Medical Informatics at Erasmus MC.

• Automatic identification of relevant chemical compounds from patents
• The biomedical abbreviation recognition and resolution (BARR) track: Benchmarking, evaluation and importance of abbreviation recognition systems applied to Spanish biomedical abstracts
• Concept recognition in French biomedical text using automatic translation
• Erasmus MC at CLEF eHealth 2016: Concept recognition and coding in French texts
• Extraction of chemical-induced diseases using prior knowledge and textual information
• Chemical entity recognition in patents by combining dictionary-based and statistical approaches
• The CHEMDNER corpus of chemicals and drugs and its annotation principles
• Ambiguity of non-systematic chemical identifiers within and between small-molecule databases
• RELigator: Chemical-disease relation extraction using prior knowledge and textual information
• Patent mining: combining dictionary-based and machine-learning approaches