Dr. Mohamad Saad

Scientist
Data Analytics

Connect with me



Research Focus at QCRI

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.

 

Previous Experience

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.

Professional Experience


Professional Associations and Awards

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.

Education

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

Selected Research

Saad M, Nato AQ, Grimson FL, Lewis SM, Blue EM, Thompson EA, and Wijsman EM, Population- and Pedigree-based Imputation and Identity by Descent estimation in Admixed Family Data. BMC Proceedings, 10(Suppl 7) :7 2016

Saad M and Wijsman EM, Combining family- and population-based imputation data for association analysis of rare and common variants in large pedigrees. Genet Epidemiol, 38(7):579-90, 2014

Nalls MA, Pankratz N, Lill C, Chuong B Do, Dena G. Hernandez, Saad M, […], Singleton AB. Large Scale Meta Analysis of Genome-wide Association Data in Parkinson’s Disease Reveals 28 Distinct Risk Loci. Nature Genetics, 46(9):989-93 2014

Kim S, Saad M, Tsuang DW, Wijsman EM. Visualization of Haplotype Sharing Patterns in Pedigree Samples. Hum Hered, 78(1):1-84, 2014

Saad M and Wijsman EM, Power of Family-Based Association Designs To Detect Rare Variants in Large Pedigrees Using Imputed Genotypes. Genet Epidemiol, 38(1):1-9 2013

Nalls MA, Saad M, Noyce AJ, Keller MF, Schrag A, Bestwick JP, Traynor BJ, Gibbs JR, Hernandez DG, Cookson MR and others. Genetic comorbidities in Parkinson’s disease. Hum Mol Genet, 1 ;23(3):831-41, 2013

Saad M, Lesage S, Saint-Pierre A, [...], Martinez M and Brice A, Genome-wide association study confirms BST1 and suggests a locus on 12q24 as the risk loci for Parkinson’s disease in the European population. Hum Mol Genet, 20(3):615-27 2011

For other research see his Google Scholar page.

Connect with me



Follow Us

  • YouTube
  • Twitter
  • Facebook
  • RSS Feed
  • Linkedin
  • github-web.png
Back to Top

In the Media

Forbes fake news pic.jpg

Can AI Put An End To Fake News? Don't Be So Sure

07/10/2018

Fake news was the Collin’s word of the year for 2017 with good reason. In a year where politics-as-usual was torn apart at the seams, high-profile scandals rocked our faith in humanity and the ...

Read More

roadtracer.png

MIT/QCRI system uses machine learning to build road maps

22/04/2018

Map apps may have changed our world, but they still haven’t mapped all of it yet. Specifically, mapping roads can be difficult and tedious: even after taking aerial images, companies still have to ...

Read More

Economist story pic.JPG

Improving disaster response efforts through data

08/02/2018

Extreme weather events put the most vulnerable communities at high risk. How can data analytics strengthen early warning systems and and support relief efforts for communities in need? The size and ...

Read More

Upcoming Events

2019

Dr Farnam Jahanian (2).jpg

“The Future of Higher Education in the Age of Technological Disruption” by CMU President Dr. Farnam Jahanian

Download ICS File 24/03/2019 ,

Dr. Farnam Jahanian, the President of Carnegie Mellon University, will deliver a public lecture, “The Future of Higher Education in the Age of Technological Disruption” at CMU’s Qatar campus on Sunday, March 24.

Read More

QCRI CSAIL Logos.JPG

QCRI - MIT CSAIL 2019 Annual Project Review

Download ICS File 25/03/2019 ,

Executive Overview Sessions Open to publi Date: March 25, 2019 Time: 10:15AM - 5:15PM Venue: Hamad Bin Khalia Reseach Complex Multipurpose Room To view agenda, please click here . To RSVP to this ...

Read More

Torralba.png

"Learning to See" Public talk by Professor Antonio Torralba (MIT-CSAIL)

Download ICS File 25/03/2019 ,

Visit by Antonio Torralba, who teaches machines to automate tasks that a human visual system can accomplish, is part of annual spring research update between QCRI and MIT-CSAIL.

Read More

News Releases

QCRI-iMMAP MOU.jpg

QCRI and iMMAP announce Memorandum of Understanding

03/03/2019

Pact aims to apply data analysis and artificial intelligence techniques to solve humanitarian problems.

Read More

UNDP workshop.JPG

UNDP partners with QCRI to use AI for social good

11/02/2019

Qatar forum on leveraging AI to solve humanitarian problems fills to capacity.

Read More

C. Mohan pic.jpg

Renowned computing expert C. Mohan to bust blockchain myths in Qatar talk

22/01/2019

Well-known inventor of database recovery algorithms to deliver keynote at QCRI's first blockchain workshop.

Read More