Dr. May's research interests include: large-scale simulation and analysis of biological pathways and systems; use and application of information theory, coding theory, and signal processing to the analysis of genetic regulatory mechanisms; design and development of intelligent biosensors. Her lab develops multi-scale theoretical and empirical models in order to understand biological mechanisms that impact the dynamics and outcome of host-pathogen/microbial community interactions.
- T. Oprea, E. May, A. Leitao, A. Tropsha. Computational Systems Chemical Biology, in Chemoinformatics and Computational Chemical Biology. 2011.
- E. May, R. Schiek. BioXyce: An engineering platform for the study of cellular systems. IET Systems Biology Journal, 3(2):77-89, March 2009.
- E. May, Dolan P, Crozier P, Brozik S., Manginell M., Towards de novo design of deoxyribozyme biosensors for GMO detection. IEEE Sensors Journal, 8(6):1011-1019. June 2008.
- E. May. Error Control Codes and the Genome, in Genomics and Proteomics Engineering in Medicine and Biology, pp 173-208, January 2007.
- E. May, M. Vouk, and D. Bitzer.An Error-Control Coding Model For Classification of Escherichia coli K-12 Ribosome Binding Sites. IEEE EMB Magazine, 25(1):90-7, January 2006.
- E. May, M. Vouk, D. Bitzer, and D. Rosnick. Coding Theory Based Models for Protein Translation Initiation in Prokaryotic Organisms. BioSystems Journal, 76(1-3):249-60, 2004.
- E. May, M. Vouk, D. Bitzer, and D. Rosnick. An Error-Correcting Code Framework for Genetic Sequence Analysis, Journal of the Franklin Institute, 341(1-2):89-109, 2004.