À¦°óSMÉçÇø

Robert Nadon

Academic title(s): 

Associate Professor, Department of Human Genetics

Robert Nadon
Contact Information
Address: 

740 Dr Penfield Ave, Room 6210
Montréal, Québec, Canada, H3A 0G1

Email address: 
robert.nadon [at] mcgill.ca
Phone: 
(514) 398-4400 ext 00284
Department: 
Human Genetics
À¦°óSMÉçÇø Genome Centre
Area(s): 
Bioinformatics and Genomics
Biography: 

Robert Nadon began his career as an experimental psychologist and transitioned to statistical analysis of high-throughput biology in the 1990s as Director of Informatics at Imaging Research (in St. Catharines, Ontario). While there, he led a team of statisticians, programmers, and biologists to develop novel statistical algorithms and software for microarray analysis. Among the first to champion currently broadly-accepted formal statistical procedures for gene expression microarrays, he developed the first commercially available software package for analysis of microarray data (ArrayStat). More recently, he conceived and spearheaded the development of the popular FlexArray software package.

Since joining À¦°óSMÉçÇø faculty in 2002, Dr. Nadon has given over 50 invited scientific presentations and workshops on high-throughput data analysis. He has been PI on three Génome Québec funded grants on high-throughput methods in genomics and a grant on high-throughput screening funded by FQRNT. He is currently an Associate Editor with BMC Bioinformatics and a panel member on the NSERC Genes, Cells and Molecules Evaluation Group. He has established ties and has forged collaborations with colleagues in France; he was a visiting researcher at the Commissariat à l’Énergie Atomique (CEA) in Grenoble, France (2009-2010) and took the À¦°óSMÉçÇø lead toward establishing formal links between À¦°óSMÉçÇø and l’Université de la Méditerranée in Marseille. He has consulted internationally for biotechnology and pharmaceutical companies at all stages of research projects for both traditional and high-throughput research studies, from initial concept to final data analysis. A recurrent consultation task is to determine and correct underlying causes of underperformance for ongoing research programs.

Current research: 

My research interests are (1) in developing statistical methods for biotechnology data and (2) developing and advocating good study design and statistical analysis practices. To date, my trainees and I have developed or are developing methods for microarray gene expression, high-throughput screening, image-based high content screening, metabolomics, RNAi and CRISPR, and genome-wide polysomal profiling.

Selected publications: 

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