Gabriela V. Cohen Freue
Canada Research Chair Tier 2 in Statistical Proteomics
My research work is interdisciplinary; merging components from mathematical statistics, genomics and medical sciences. In particular, I am interested in developing new statistical methods feasible for the analysis of high-dimensional datasets and robust to outliers usually encountered in genomics and proteomics studies. I am currently working on extensions of classical estimation approaches to address problems related to data science and the analysis of big data, e.g, sparsity, measurement errors, confounding factors, collinearity. I have published both methodological and applied work related with these areas of study. I collaborate in different interdisciplinary research projects, including proteomics in multiple sclerosis, proteomics in cardiovascular diseases, and –omics in asthmatic patients, among others.
Our BCA article in Nature
Can we predict protein from mRNA?
Talk Data To Me
Earth Science Building 3146
University of British Columbia
2207 Main Mall, Vancouver, BC, Canada, V6T 1Z4
Special thanks go to my student Kevin Multani (website editor), Nikki Snider (photo editor), and Silvia Moreno (photographer) for their help building this website, and to Dean Attali for creating Beautiful Jekyll.