Vimalathithan Devaraj

I lead a team of computational biologists majorly working on various stages of drug discovery with more emphasize on reducing the turn around time.

• Developed a computational Target Identification workflow to prioritize targets given a disease condition through high-throughput -omics data analysis followed by network analysis.
• Build an insilico perturbation model to study the Target-Disease causation of the prioritized targets
• Streamlined the Target Assessment workflows

Lead a complete informatics support project for a client to analyze GCMS/LCMS data

• Created a python-based workflow to extract spectra data from raw files and create a spectra library
• Built a deep learning model to predict the mass spectra of a compound using graph embedding of the compound structure.

Proposed and formulated methods to translate and infer insights on species with sparse data from a well studied organism

Worked at the interface of several scientific groups including the upstream and the downstream processing of fermentation.
• Involved in building predictive models from experimental data and developing solutions depending on the project need.
• Building gene regulatory networks from experimental data to understand the signal processing machinery of the host organism.
• Transcriptome and proteome data analysis to understand the physiological changes in cells during the fermentation process.
• Multivariate data analysis to understand the efficiency of fermentation processes.
• Generate hypotheses from the observations/ scientific literature and design experiments to validate the idea.

• Worked in a data warehouse project as a Business Intelligence Developer.
• ETL data processing using Informatica, BusinessObjects.