Developing AI-based tools to explore biological questions in neuroscience, particularly focusing on brain diseases and oncology to facilitate efficient data analysis and discovery of novel insights, accelerating research progress. Pioneering the development of shadow imaging techniques to visualize brain microstructure with unprecedented detail, aiding in the study of pathologies like tumor invasion, Parkinson's disease, and Alzheimer's disease.Utilizing super-resolution microscopy (STED) explored the potential of extracellular matrix modulation for enhancing brain plasticity in healthy individuals and following brain injury.Unveiling brain microstructure secrets: Employing STED to investigate the role of brain microstructure in Alzheimer's disease progression and tumor invasion, paving the way for targeted therapies.

Trusted advisor to leading investors: Leveraging deep scientific expertise to evaluate technology-related risks and clinical trial outcomes in cutting-edge fields like AI-powered Alzheimer's diagnostics and gene therapies for Parkinson's disease.Bridging the gap between science and business: Curating the "Paris Biotech" events platform and blog to foster knowledge-sharing about the latest biotech innovations and empower informed investment decisions.Organizing “Paris Biotech” events, writing a blog about innovations in biotech.

Independent research leader: Spearheaded two novel projects on neuronal plasticity and energy metabolism, driving scientific progress in this crucial area.Collaborative powerhouse: Managed four collaborative research initiatives exploring neuronal plasticity and neurodegenerative diseases (Parkinson's, Huntington's). This successful collaboration resulted in four published papers with one more forthcoming.Technical innovator: Developed and implemented a groundbreaking 2P imaging technique to study deep-brain stimulation, a potential breakthrough in treating neurological disorders. This innovation facilitated efficient teamwork, leading to a Master's student securing a PhD fellowship to continue this impactful research.Coding for discovery: Designed Python algorithms to streamline imaging data analysis, accelerating research progress.

Facilitated research collaboration with medical professionals, resulting in improved tumor identification during surgery and streamlined grant applications.

Investigated the extracellular matrix as a target for enhancing neuronal plasticity, contributing to data analysis and automation through custom MATLAB software.

Led the design of two research projects exploring synaptic integration within neuronal networks, elucidating the cellular mechanisms of learning and memory formation.Provided mentorship to Master's students and secured research funding. Managed funding, coordinated grants applications and scientific reports.