Burcu F.

Worked on a multidisciplinary computational biology project focused on biomolecular systems and protein dynamics at the Institut de Biologie Physico-Chimique (Paris). Developed and analyzed large-scale molecular simulation workflows using coarse-grained and all-atom approaches in High-Performance Computing environments. Designed realistic membrane models and applied machine learning approaches to improve molecular modeling and predictive analysis. Integrated computational and experimental data in close collaboration with research partners to better understand protein structure and dynamics.

Developed and applied computational biology workflows to study the effects of cancer-associated mutations and post-translational modifications on protein structure and interaction networks. Combined molecular modeling, molecular simulations, docking, and data-driven analysis approaches. Contributed to the development of automated and reproducible computational pipelines, including workflow management approaches such as Snakemake and HPC environments, while also gaining hands-on experience in NGS data processing and analysis workflows in R. Worked on projects involving intrinsically disordered proteins, protein–protein interactions, and autophagy-related biomolecular systems.

Developed computational modeling and simulation approaches to study protein dynamics and conformational transitions, combining biophysical network models, molecular simulations, data analysis, and custom scientific programming workflows. Contributed to the dissemination and testing of the ANM-LD web-based simulation server, which later evolved into a more accessible Python package and Google Colab implementations.

Led and contributed to grant writing, proposal development, project/budget coordination, and technical reporting activities for interdisciplinary computational biology initiatives, including the EU-funded COSBIOM project.