I am a research engineer in the Biomaterials and Microfluidic core facility. My focus is to provide innovative and robust tools to quantitatively study cell/tissue behavior in well-defined and controled 3D environment.
Until quite recently, I was a Post-doc in the Gregor Lab at the Pasteur Institute in Paris establishing robust and quantitative techniques to study cell fate specification in developing “tissues”.
Prior to this, experience, I was a Data scientist in the Bikard lab at the Pasteur Institute in Paris where I honed my skills in AI for about a year. I also was a Project scientist in the Vergassola lab at UCSD implementing on reinforcement learning algorithm on gliders and also studying bacterial chemotaxis as a function.
My expertise lies in designing and performing quantitative experiments to achieve novel biological knowledge. To do so, I acquired a wide variety of skills in microscopy, microfluidics, instrument control and image/data analysis.