Doctoral Fellow of Department of Biomedical Informatics

Contact Info:

Research Interests

Computational Proteomics:
Application of Machine Learning and other computational techniques in analysis of MS and Tandem MS data; specifically, as applied to the protein identification problem and protein-protein interactions.

Informatics of computational vaccine design: Prediction of antigen (TCR) binding a given epitope by sequence and structural analysis of known binders, in order to reduce complexity of search space and also to explain cross-reactivity.

Education

• B.Tech. (2004; Information Technology) Indian Institute of Information Technology, Allahabad, India
• MS (2008; Biomedical Informatics) University of Pittsburgh

Publication

Grover, H., Lustgarten, J., Visweswaran, S., Gopalakrishnan, V. Improving Peptide Identification via Validation with Intensity-based Modeling of Tandem Mass Spectra. In Proceedings of the International Conference on Bioinformatics, Computational Biology, Genomics and Chemoinformatics (BCBGC-08). (2008).pp. 56-63.

Lustgarten, J. L., Grover, H., Visweswaran, S., Gopalakrishnan, V. An Evaluation of Discretization Methods for Learning Rules from Biomedical Datasets. In Proceedings of The 2008 International Conference on Bioinformatics And Computational Biology (BIOCOMP’08). (2008). Editors Hamid R. Arabnia, Mary Qu Yang, Jack Y. Yang. pp. 527-532

Lustgarten J, Gopalakrishnan V, Grover H, Visweswaran S. Improving Classification Performance with Discretization on Biomedical Datasets. AMIA Annual Symp Proc November 2008 6:445-9. PMID: 18999186 PMCID: PMC2656082