Short CV

Alexandros Kanterakis was born on 30th July 1978 in Athens, Greece. In 1997 he enrolled in Computer Science Department (CSD) of University of Crete (UoC), Greece. During his studies he showed interest in Machine Learning, Data Mining and Pattern Recognition. His graduate thesis was the development of an algorithm for knowledge extraction from large documents that are typically returned from Electronic Health Record Databases. After graduating at 2002, he was accepted as a master student in the bioinformatics postgraduate curriculum of CSD in collaboration with the Institute of Computer Science (ICS) of the Foundation for Research and Technology, Hellas (FORTH). His supervisors were professor Dr. Stelios Orfanoudakis and Principal Investigator Dr. George Potamias. During his master studies he developed algorithms for classification and clustering of gene expression microarray data. He also participated in studies involving text mining of biomedical corpora and semantic annotation of biomedical information. After finishing his master in 2005, he was employed as a software engineer in the BioMedical Informatics (BMI) laboratory of ICS/FORTH. In 2010 he started his PhD at the genetics department of the University Medical Center Groningen (UMCG) in Netherlands. His promoter was professor Dr. Cisca Wijmenga and his co-promoter was professor Dr. Morris A Swertz. During his PhD studies he participated mainly in the imputation part of the analysis of the Genome of the Netherlands. He also conceived the idea of developing a crowdsourcing environment for programming which was developed under the name PyPedia. Since 2014 he is working as a Collaborating Researcher in the Computational BioMedicine Laboratory (CBML) of ICS/FORTH. He is mainly involved in Pharmaco-Genomics studies while he is developing Workflow Management Systems for open and reproducible science. Alexandros currently lives in Heraklion, Crete, Greece with his wife Despoina and his two daughters Eleni and Demetra.

Research Interests

• Bioinformatics
• Population Genetics
• Computational Biology
• Scientific Workflows
• Web Services
• Data Mining
• Machine Learning
• Natural language processing