I work primarily in the preclinical drug discovery space as a Computational Toxicologist doing scaffold, structural and target risk assessments for small molecules and siRNAs.
My primary areas of expertise are in: data analytics, artificial intelligence, statistics, bioinformatics, cheminformatics, Toxicology, machine learning, R programming, Python, Linux, Spotfire and KNIME. I also have some experience with SQL and Microsoft Azure.
I successfully defended my Ph.D. in Bioinformatics last month with a minor in Biostatistics with a focus on scRNA-seq data analyses.