Dr. Mohamad Saad
Dr. Mohamad Saad’s research encompasses topics including statistical genetics, biostatistics, bioinformatics, systems biology and genetics. He is interested in developing statistical methods, approaches and computational tools to help understanding the genetic etiology of complex human diseases such as Parkinson’s disease, Alzheimer’s disease and cancer. These approaches aim to discover new genetic and environmental causes for those diseases in order to find cures, prevention measures and better therapies.
His research expertise includes many analytical approaches that are being used and proposed for Genome Wide Association Studies (GWAS) such as: association analysis for common and rare variants in population- and family-based designs, linear mixed models, clustering methods, mutli-dimension reduction techniques, linkage analysis, imputation of missing genotypes, MCMC and LASSO.
Dr. Mohamad Saad is a scientist in the Data Analytics group at Qatar Computing Research Institute. He joined QCRI in February 2017 and works on topics in statistical genetics, biostatistics, bioinformatics, and systems biology.
Dr. Saad has a background in applied mathematics and statistics. He obtained his Bachelor's degree in Applied Mathematics (Majoring in Statistics) at Lebanese University in 2006, before he moved to France where he obtained his Masters degree in Statistics/Biostatistics from the University of Montpellier II, Monpellier in 2007, and his Ph.D. in Statistical Genetics/Biostatistics/Bioinformatics from University of Paul Sabatier III, Toulouse, in 2012.
In Summer 2012, he moved to the United States for a postdoctoral position and joined the Department of Biostatistics at the University of Washington, Seattle, as a Postdoctoral Senior Fellow and stayed until Fall 2016.
2012: Ph.D. in Statistical Genetics / Biostatistics, University of Paul Sabatier 111 & National Institute of Health and Medical Research, Toulouse, France
2007: M.Sc. in Statistics/Biostatistics, Montpellier University, France
2006: B.Sc. in Applied Mathematics (Majoring in Statistics), Beirut, Lebanon
For other research see his Google Scholar page
2014: James V. Neel Young Investigator Award for the Best Presentation by a Young Investigator at the International Genetic Epidemiology Society, Vienna, Austria, August 2014.