As the main data scientist at PlanetWatch, a French startup focused on decentralizing and incentivizing environmental monitoring, I play a crucial role in extracting valuable insights from our data.* Developing new algorithms to extract environmental insights from our data* Building and maintaining predictive models to enhance the quality of our data* Creating and implementing dashboards and visualization tools to present my analysis* Extracting and transforming data from external web services* Clean coding using basic design patterns in Python* Applying deep learning frameworks to tackle complex environmental problems.At PlanetWatch, I have the opportunity to work with cutting-edge technology to make a positive impact on the environment. I am constantly challenged to think creatively and apply my skills in data analysis and machine learning to drive the company's mission forward. I recently led our team to victory in the IoT Space Challenge, a prestigious program in partnership with Hubraum and the European Space Agency, demonstrating our innovation and impact in the field.

As a Postdoctoral Research Associate, I worked at the lab of Dr Robert H. Singer and Dr Robert A. Coleman at Albert Einstein College of Medicine.* Developing and implementing advanced pattern recognition and predictive modeling techniques* Utilizing genetic engineering and cell biology techniques to edit cells* Creating and utilizing computer vision and MATLAB programs for data analysis and visualization* Participating in oncology research projects and presenting findings at conferencesOne of my key achievements at this lab was successfully developing a quantification program that automatically detects and quantifies fluorescent signals in movies, and analyzes the expression level of hundreds of cells. This program greatly improved the efficiency and accuracy of our research in the field of oncology.

As a PhD student in transcriptional regulation, I worked in the team of Xavier Darzacq at Ecole Normale Supérieur and focused on studying the c-Fos proto-oncogene at the single cell level.* Developing a tool for quantifying single mRNA and nascent RNA on transcription site from Fluorescence in situ Hybridization data.* Discovering the simple regulation of c-Fos transcription through short and infrequent transcriptional bursts.* Investigating how the frequency of these bursts is modulated by the level of activation of intracellular signaling pathways.* Observing the dynamics clustering of RNA polymerase II on genes and providing an explanation for the molecular origin of these transcriptional bursts.One of my key achievements in this field was discovering a remarkably simple regulation of c-Fos transcription and uncovering insights into the dynamics of transcriptional bursts at the single cell level. This work has provided a framework for deciphering the regulation of gene expression and could have implications in the study of diseases such as cancer.

Etude de la régulation d'un gène unique dans une cellule vivante.

Stage de recherche sous la direction de Jacques Piette, Equipe de Thierry Forné.Etude de la régulation épigénétique du locus INK4/ARF chez l’homme.