About
Padmanabhan Mahadevan serves as a Professor in the Biology Department within the College of Natural and Health Sciences at The University of Tampa. His primary academic home is the Biology Department where he teaches courses including Bioinformatics and Genomics, Programming for Biology, General Biology I Lab, and Senior Seminar. His research bridges computational methods with biological inquiry, focusing on genomic data analysis and tool development.
- 1997 Beloit College, B.S.
- 2001 The University of New Orleans, M.S.
- 2004 The University of New Orleans, M.S.
- 2008 George Mason University, Ph.D.
Professor Mahadevan's research centers on bioinformatics and computational biology with emphases on viral genomics (particularly adenoviruses as human pathogens) and marine metagenomics. He has made significant contributions to computational genomics through the development of analysis tools including CoreGenes and GeneOrder. His work integrates high-throughput DNA sequencing data with algorithmic approaches to solve biological problems in pathogen evolution and symbiotic relationships. The research demonstrates consistent focus on both methodological innovation and biological application across diverse systems.
His publication record reveals sustained contributions to viral genomics tool development and marine organism analysis, with notable emphasis on adenovirus stability, phage diversity, and endogenous viral elements in symbiotic systems. The work spans computational methodology, pathogen evolution, and ecological genomics.
- 2025 Springer Nature Editor of Distinction Award
- 2023 Outstanding Faculty Advisor Award
- 2015 Innovation in Teaching Award, College of Natural and Health Sciences
Professor Mahadevan serves as Associate Editor for BMC Genomics and reviews for numerous journals, demonstrating active engagement in scholarly communication. His 2023 Outstanding Faculty Advisor Award highlights his mentoring impact. While specific grant details aren't provided, his editorial role and tool development suggest sustained research funding supporting his computational genomics work.
Though not explicitly stated, his development of CoreGenes and GeneOrder tools indicates leadership in computational biology infrastructure, likely involving collaborative teams focused on genomic analysis software development and application to viral and marine systems.
