Biologics Portfolio Management - scientific and market data integration, analytics, and data-driven strategies to optimize business performance and innovation in healthcare.

Identifying and addressing multi-omics data-centric challenges in making public and proprietary data accessible and ready to use for businesses and academia

- Produced and planned audio-visual resources and delivered lectures for 9 bioinformatics theory courses for last three years - Designed laboratory practical, provided instructions and managed performance of 50 students for 6 lab courses amounting to total contact hours of 250 over 6 semesters. - Mentored, supervised and managed 20 undergraduate and postgraduate students in multidisciplinary bioinformatics projects.Teaching: Courses in Bioinformatics- Programming Languages, Computational Genomics, Biological Computation, and Structural Bioinformatics, Programming Languages for Bioinformatics, R Research: - Computational Genomics, Data Mining, Computational Software development

• Setup and maintained Google Cloud-based NGS Data analysis pipelines and tools up to date with various genomic resources for ChIP-seq, RNA-seq, and differential gene expression analysis. • Provided custom solutions for data analysis needs

- Successfully established and managed computational infrastructure in an experimental lab, including purchasing, installing, and managing 4 workstations, networking, data storage/backup, and software procurement and installations.- Professional awareness and planning as demonstrated by collaborating across 3 projects to develop NGS analysis pipelines and tools for detecting DNA-binding sites, and RNA-seq based differential analysis in human genome.Roles and accomplishments:- Developed/maintained/improved the ChIP-seq data analysis pipeline and use it to process in house and relevant public data.- Developed new computational tools for hypothesis generation that could be used by lab members for experimental testing.- Provided bioinformatics support for studies of chromatin structure and function.- Maintained data storage and backups.- Conducted research and maintained the knowledge-base of relevant computational methodologies and tools, and used them for current research projects.- Providing bioinformatic advice to researchers in the group.Project: Investigating the role of erythroid transcription factors in K562 cells. Project highlights:• ChIP-seq analysis of in-house and publicly available NGS data. • Genome-wide identification of regulatory elements such as enhancers using clustering methods.• Investigating possible role of TF binding motifs arrangement in gene regulation. • RNA-seq data analysis for differential gene expression in knock-out cells.Project: Identifying chromatin boundaries. Project highlights:• Profiling various histones modifications in chromatin. • DNaseDGF and nucleosome data analysis for identification of chromatin boundries.

- Developed EFICAz2.5, a sequence based enzyme function prediction server, and applied to 373 proteomes resulting in a quality publication and commercialization of software.- Collaborated in lab projects to construct molecular models of whole enzyme complement of human proteome, and developed a computational metabolomics approach.Webservers Developed / Contributed1. EFICAz2.5: A High Precision enzyme function prediction program ( http://pwp.gatech.edu/cssb/eficaz2-5/ )2. A Genome-Wide Enzyme Function Annotation Database ( http://cssb.biology.gatech.edu/enzymes )3. SUNPRO: A Database of Structure & FUNction Predictions of Proteins from Representative Organisms ( http://cssb.biology.gatech.edu/genome/index.html )

- Planned and timely performed modelling of pfCDPK1 in active and inactive conformations in Plasmodium falciparum malarial parasite resulting in a publication. - Team worked and developed the structural visualization module of SBSPKS, a popular webserver for analysis of antibiotic synthesis that resulted in a high quality publication. Contribution to Web-server:SBSPKS: structure based sequence analysis of polyketide synthases (http://www.nii.ac.in/sbspks.html)

Thesis title: Modeling protein-peptide complexes using rotamer library approach: application to prediction of substrates for MHC and kinases (Supervisor: Dr. Debasisa Mohanty )Project highlights:• Developed a structure based program for identification of substrates for protein kinases and MHC proteins.• The program models protein-peptide complexes by rotamer library approach and scores substrates using residue based statistical pair-potential/. MM/PBSA approach.• The program has been benchmarked on known substrates of protein kinase and MHC proteins.