Postdoctoral Associate at MIT transitioning to co-founder of Short, a startup leveraging machine learning for meeting analytics. With a robust background in condensed matter physics, I have recently pivoted towards machine learning and developed a wafer imaging software in Python for characterizing van der Waals materials.I hold a joint Ph.D. in Physics from Université Pierre et Marie Curie (Paris, France) and Sherbrooke University (Sherbrooke, Canada). My experience spans experimental design, data analysis, instrument automation, and advanced machine learning techniques. I have a strong background in developing machine learning models, data manipulation, and leveraging APIs for practical applications.I am driven by the principles of minimizing unnecessary complexities, delivering tangible results, and providing clear, straightforward explanations.Outside of work, I enjoy gardening, cooking, and baking.