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About the PI


Christina Boucher is an Associate Professor at the Department of Computer and Information Science and Engineering at the University of Florida.  Her research is on development algorithms and data structures that allow for large scale biological sequence analysis.  She incorporates the latest sequencing technologies and biological analyses to her work.  Two major biological themes recur in her research: alignment to pan-genomes (usually human) and understanding how microbial species move and evolve.  

She is currently a standing member of NIH BDMA study section.

Her research lab greatly appreciates the funding that we receive from NSF, NIH, and USDA.  

Christina Boucher’s Google Scholar.

Full Bio 

recent News


current Service

  • Standing Member of NIH BDMA
  • RECOMB 2024 PC
  • Member of HiTSeq Organizing Committee 
  • Member of RECOMB SEQ Steering Committee
  • BMC Bioinformatics Associate Editor  
  • Bioinformatics and Biology Insights Associate Editor
  • Track Chair for ISMB 2024

CURRENT funding

PREVIOUS funding

  • NSF EAGER: Solving the Bait Learning Problem ($180,995; PI: Boucher).
  • NSF III: A scaleable and Efficient Optical Map Assembler ($397,461; PI: Boucher).

News

 

Bahar Alipanahi at PhD Commencement

joining the lab

Multiple postdoctoral fellowships and graduate fellowships in big data analysis, applied algorithm and genomics are available in my lab at the University of Florida in Gainesville, FL. I am looking for students with a diverse background in mathematics and computer science. Candidates should be interested in biology but not necessarily have a formal background.

I am specifically interested in (a) pangenomics and devising and implementing algorithms for indexing a large number of reference genomics (Funded by NIH), (b) detecting antimicrobial resistance from shotgun metagenomics data (Funded by NIH), and (c) designing primers for multiplex PCR (Funded by USDA). My lab is balanced between applied and theoretical work: we not only create novel algorithms but we also implement them in a scalable manner.

Meet the Current Students