Fabio Cunial
About Fabio Cunial
Fabio Cunial is a Computational Scientist currently working at the Broad Institute of MIT and Harvard. He has extensive experience in bioinformatics, particularly in genetic research and structural variant detection, with a strong academic background in Computational Science and Engineering.
Work at Broad Institute
Fabio Cunial has been employed at the Broad Institute of MIT and Harvard as a Computational Scientist since 2021. He works within the Long Reads Team of the Data Sciences Platform, focusing on the analysis of numerous samples for genetic research. His role emphasizes the development of methods for detecting structural variants in long read sequencing data, particularly in relation to severe Mendelian diseases and childhood cancers.
Previous Research Experience
Cunial has a robust background in research, having served as a Postdoctoral Researcher at the Max Planck Institute of Molecular Cell Biology and Genetics from 2015 to 2021. Prior to this, he worked as a Postdoctoral researcher at the University of Helsinki from 2012 to 2015. He also held positions as a Visiting Researcher at Inria in 2010 and as a Teaching Assistant at the College of Computing at Georgia Tech from 2009 to 2010.
Educational Background
Fabio Cunial earned his Bachelor of Engineering (BE) and Master of Engineering (MEng) in Computer Engineering from Università degli Studi di Padova between 2001 and 2006. He then pursued his studies at the Georgia Institute of Technology, where he obtained a Master of Science (MS) and a Doctor of Philosophy (PhD) in Computational Science and Engineering from 2007 to 2012. Additionally, he completed a Graduate research traineeship in Computer Science in 2006.
Authorship and Contributions
Cunial authored a book focused on genome-scale information, which provides insights into bioinformatics and genome assembly. He has also participated in a podcast episode discussing bioinformatics, where he covered topics related to data structures and algorithms on strings. His contributions to the field include developing methods for structural variant detection in genetic research.
Software Development Experience
Before his academic career, Cunial gained practical experience in software development. He worked as a Software Developer at Emory University in 2007 and again in 2009. He also held positions as a Junior Software Engineer at Targa Telematics and Etnoteam in 2009 and 2004, respectively. His early experience includes working as a Research Assistant at the College of Computing at Georgia Tech from 2007 to 2011.