Marouen Ben Guebila
Instructor in Medicine, Dana-Farber Cancer Institute
My research is at the interface of genomics, machine learning, and network biology. I often combine tools from these disciplines to address fundamental questions about the functioning of biological systems. I develop open-source, parallel software that leverages high-dimensional biological data to model regulatory genomics, small molecule dynamics, and metabolism in time and space.
My primary appointment is in the Department of Medical Oncology at Dana-Farber Cancer Institute, with secondary appointments in the Department of Biostatistics at Harvard T.H. Chan School of Public Health, Harvard Medical School, and the Broad Institute.
Biology
- Metabolic modeling in time and space
- Gene regulatory networks
- Protein–protein interactions
- Kidney cancer
- Pharmacogenomics
Methods
- Optimization (linear & dynamic programming)
- High-dimensional statistics
- Machine learning
- Recommender systems
- Graphs & hypergraphs
Frameworks
Django Pydantic DSPy Vector database Bootstrap Nextflow JupyterHub CUDA OpenMP
Selected publications
Professional societies
Funding & support
