Research Fellow at the Institute for Aging Research, Departments of Genetics and Medicine.- Population genetics- Analysis and interpretation of raw epigenomic results (build pipeline)- Develop and apply statistical methods for analyzing various genetic epidemiology data, and provide statistical support.- Next generation sequencing analysis and interpretation.

"The Data Incubator is an intensive bootcamp that prepares the best science and engineering PhDs to work as data scientists and quants. It identifies fellows who already have the 90% difficult-to-learn skills and equips them with the last 10%: the tools and technology stack that make them self-sufficient, productive contributors."​

Biopharmaceutical company that specialized in ubiquitin-mediated diseases. Proteologics focuses on the development of a novel class of drugs targeting ubiquitin-protein ligases.- Provided Bioinformatics and Cheminformatics solutions- Advanced techniques in computer-aided drug design such as QSAR, Pharmacophores, Docking, Virtual screening and homology modeling.- Developed data analysis methods to identify compounds of interest from screening assays- Designed and implemented software to gather and qualify data from high-throughput screening assays- Designed and developed local databases- Built expert systems- Information technology manager

- Was responsible for Bioinformatics research- Designed and created data mining tools- Designed and created automated protein annotation pipeline- Consulted researchers on using Bioinformatics databases and programs- Web development of a local Bioinformatics intranet

- Vast programming experience in C, Perl and VB- Project responsibilities from the initial state until delivery.- Provided customer support for the product.- Participated in technical presentations to potential customers.