Lead development of SNP variant based genomic products; worked with marketing and sales teams to define product profiles; designed experiments, performed statistical characterization of genotypic and phenotypic, data, developed databases, and performed modeling and statistical analysis. Data preparation was performed in Java, Bayesian statistical modeling was performed in Java, and commercial tools. Post processing statistical analysis was performed using R.
- Developed algorithms and created pipelines for identification of minimum number of features required to quantify successful product development through simulations. Enhance and strengthen capabilities of colleagues in using pipelines and computational biology tools. Designed and developed database to store large amounts of genotype data.
- Apply machine learning methodologies to develop validation tools that identify breed class and mixed class composition utilizing features generated from genetic profile. R, Weka programs were used. Developed parentage analysis software currently used as commercial software in house. Tweaked Weka Java packages for creative solution.
- Direct and coordinate Java pipeline development to support WGA analysis required for product development Pfizer