Welcome to my academic website!
I am a postdoctoral researcher in applied mathematics and computational biology at Institut Imagine in Paris, where I work in the Ricci Lab since July 2025. My research focuses on single-cell transcriptomics analysis, gene regulatory network inference, and the optimization and control of biological systems using machine learning and mathematical modeling.
In December 2024, I defended my Ph.D. at Université Lyon 1 under the supervision of Hugues Berry, within the AIstroSight team at Inria Lyon. My doctoral work focused on modeling intracellular signaling in spatially heterogeneous media, combining mechanistic approaches with statistical learning methods.
Research Interests
My research bridges mathematical modeling, machine learning, and biological discovery. I develop computational frameworks to understand cellular dynamics across multiple scales—from single-molecule trajectories to gene regulatory networks and cell fate decisions.
Current research directions include:
- Single-cell transcriptomics: Developing end-to-end analysis pipelines for scRNA-seq data, including trajectory inference, cell fate prediction, and regulatory network reconstruction
- Dynamical systems & optimization: Learning biological dynamics from omics data to perform optimization and control of cellular processes
- Physics-informed machine learning: Integrating mechanistic models with deep learning to yield robust, interpretable predictions for therapeutic applications
- Spatial and temporal heterogeneity: Modeling how compartmentalization, molecular crowding, and anomalous transport shape cellular signaling
I combine diverse mathematical approaches (ODEs, SDEs, PDEs, optimal transport, stochastic processes) with modern ML tools (PyTorch, TensorFlow) to tackle inverse problems, control theory, and system identification in biological contexts.
About
Beyond research, I actively contribute to the scientific community by organizing events for early-career researchers with the Imabio Young Scientist Network. I am passionate about translating computational advances into impactful biomedical applications and building bridges between mathematics, computer science, and biology.
I develop open-source tools to make advanced methods accessible to experimental biologists, including SPTools and MLFCS.