I am an Associate Professor at the Department of Computer and Information Science and Engineering at the University of Florida.
Check my Google Scholar for all my papers.
My research lab develops novel analysis methods that use current and upcoming technologie for generating biological data and build resources–such as a misassembly correction method or a resistome surveillance method–that benefit both researchers in bioinformatics and life sciences. Each of our analysis methods incorporate the use of discrete algorithms or data structures.
The Boucher lab greatly appreciates the support from the following granting agencies.
Active Funding:
- NSF SCH: INT: Enabling real-time surveillance of antimicrobial resistance ($1,187,778, PI: Boucher)
- NIH NHGRI (R01): Personal and panel references for improved alignment (PI: Langmead)
- NSF IIBR: An Efficient Pangenomics Graph Aligner ($700,361, PI: Boucher)
- NIH R01: Developing Computational Methods for Surveillance of Antimicrobial Resistant Agents ($2,139,795, PI: Boucher and Prosperi)
- NSF III: A Scalable and Efficient Optical Map Assembler ($397,461, PI: Boucher)
Previous Funding:
- USDA NIFA: Understanding antibiotic resistance occurence and development of mitigation strategies in cattle (PI: Jeong)
- USDA NIFA: Paradigm shift: revolutionizing our understanding of antimicrobial resistance ecology through whole genome analysis of microbial communities (Lead PIs: Belk / Morley / Yang)
- Morris Animal Foundation
