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Montreal, Canada Area Canada

Data Scientist at Via Science

Technology / Software / Internet

Statistics: Supervised learning: Decision tree, Naive Bayesian, Bayesian Network, Random Forest, SVM, Neuronal Network, PLS. Unsupervised learning: PCA, K-means, SOM, Cobweb. Bootstraping, parametric test Cheminformatics: Scafold Hoping, Similarity searching, Data Mining, Virtual Screening, QSAR, dataset design Structure based drug design: Docking, binding site comparison, Molecular dynamics Computational biology: MicroRNA target prediction, sequence annotation, synthenic analysis, network analysis, binding site similarity, microarray analysis, RNA-seq analysis. Programming: Java, Python, R, C++, Perl, Bash, tcl, PHP