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
Selected publications
Open-source contributions
I contribute to community-driven scientific software, including:
- The Network Zoo — multilingual package for the inference and analysis of gene regulatory networks (R, Python, MATLAB, C)
- The COBRA Toolbox — constraint-based reconstruction and analysis of metabolic networks in MATLAB
- COBRApy — constraint-based modeling of biological networks in Python
- COVID-19 Review Consortium — collaborative, version-controlled living review of the COVID-19 literature
Recent talks
- Clinical Computational Oncology, Dana-Farber Cancer Institute — 2026
- PGSAO, Dana-Farber Cancer Institute — 2025
- Program in Quantitative Genetics, Harvard T.H. Chan School of Public Health — 2022
- BioC, the Bioconductor conference — 2022
Professional societies
Funding & support
