Write custom software tools , data analysis methods and visualizations in R & Python for NYU research groups in the areas ofComputational Proteomics ; Genomics; NGS Transcriptomics for publication and reportsWork in linux and SGE Environments for high volume data analysis in various -omics data to optimize and implement analysis routines Use REST API for querying data and interaction with various biological data repositoriesPerform linear regression, data simulations, unsupervised/supervised clustering and other methods to analyze data Special Instructor: Data Analysis with Pandas and Matplotlib:: Intro to Programming in Python: BioInformatics Graduate Program (PhDs & Masters Students)Maintain version control using GitHub

Computational Proteomics ;--Developed Half Life Calculation tool for SILAC labelled High Throughput Shotgun Mass Spec Data (R)--Developed Analysis Package and Annotation database (yPAD) for protein features in Saccharomyces Cerevisiae (SQL / Python)

Generated new models of Alzheimer’s Disease using induced pluripotent stem cells (iPSCs) from early onset AD patients and differentiating them into neural progenitors, neurons, and interneurons for disease-relevant studies Publicly presented research findings at International Stem Cell Conferences as well as Internal and External meetings

HIV virology/immunologyProgenics Pharmaceuticals development of PRO-140Moore Lab