We use systems biology, computational modeling, and biomolecular engineering approaches
to understand, predict and control genetic communication in bacterial communities
Combining mathematical models and biological experiments to understand bacteria
Leveraging NGS, RNAseq, and bioinformatics to gain mechanistic insights
Designing genetic constructs to control bacterial interactions
Data Science & ML
Analyzing data with ML & AI techniques to predict and validate findings
What's Comp Bio?
We love STEM, and we want others to feel the same. Not entirely sure what Computational Biology is? Check out our YouTube Channel!
Have questions about Computational Biology that you'd like us to discuss? Check out our YouTube page or email us!
NewsCheck out what's new with the lab!
NIH FundingThe lab is excited to recieve NIH funding in collaboration with the Smith lab at NSU to study metabolism and antibiotic resistance!
New round of funding!The lab recieves its second federal funding from the NIH!