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Personal profile

Curriculum vitae

Dr Younsi has strong research interest in heterogeneous parallel programming applied to genomics.  His background is in Machine Learning and software engineering.  His recent research area is software developement for reference free variant calling coloured de Bruijn graphs and developing fast and efficient algorithms for bioinformatics using graphs.  He is investigating the software development of a heterogeneous parallel variants calling software using sequence alignment in multiple-genome graphs for both short and long reads.

Education/Academic qualification

Machine Learning, PhD, University of East Anglia

Award Date: 1 Apr 2011

Fields of Science

  • 113 Computer and information sciences
  • Machine Learning
  • Bioinformatics, Systems biology
  • Parallel and Distributed Systems
  • Heterogeneous Programming in C and C++.