I integrate fluorescence spectroscopy, optical modeling, mass spectrometry (MS/SpiderMass), and super-resolution microscopy (SRM) to improve intraoperative diagnosis and characterization of brain pathologies such as Focal Cortical Dysplasia (FCD) and tumors.

I focus on combining multimodal data — fluorescence, MS, MRI, and SRM — to extract metabolic and structural biomarkers that guide surgical decisions in real-time.

My research addresses key challenges: separating overlapping spectral signals, accurately modeling heterogeneous tissues, aligning multimodal datasets, and translating complex biomarker information into actionable insights for surgeons.

Ultimately, I aim to develop robust, fast, and clinically implementable tools that enable biomarker-guided surgery, improving patient outcomes while seamlessly integrating into the operating room workflow.