Areas of Interest
Hani’s goal is to develop statistical and computational methods to enhance metabolomics research and discovery. This includes creating tools for the analysis of untargeted metabolomics data & systems metabolomics of cancer and other diseases.
Currently, Hani is working with Dr. Karnovsky on improving the performance of ‘Binner’, a newly developed software package for clustering and annotating LCMS-guided untargeted metabolomic features. This work is ongoing and will hopefully yield a publication soon.
- B.S., University of Michigan (Mathematics)