Dr Rodrigo Cánovas
PhD, University of Melbourne
I got my Bachelor (2007) and Master (2010) degrees in Computer Science Master at the University of Chile. In collaboration with Professor Gonzalo Navarro, I worked in the area of succinct data structures and its applications in Bioinformatics focusing in the suffix tree data structure. Later in 2015, I received my PhD at the University of Melbourne, where in collaboration with Professor Alister Moffat and Andrew Turpin, I explored how succinct data structures can be use to compress genomic files, proving the feasibility of random access to the compressed genetic data without requiring full decompression of large data files. Then I began a Postdoctoral Researcher position at the Lab. of Computer Science, Robotics and Microelectronics of Montpellier (LIRMM) and The Institute of Computational Biology (IBC). There I worked in exploring and improving existing tools while at the same time proposing novel methods and ideas for analyzing sequence data coming from High Throughput Sequencing technologies. Also, during my stay at Montpellier I developed tools to accurate predicting Glycosylphosphatidylinositol (GPI) proteins base on the biological and structural features of known GPI-anchored Proteins. In the Systems Genomics lab I am doing research in the application of genomic prediction to common disease, particularly autoimmunity.