Summary
Hela Mhiri is a PhD candidate in Computer Science at LIP6 with nine years of research experience focused on variational quantum learning and quantum simulation under the supervision of Prof. Elham Kashefi and Prof. Zoë Holmes. She has interned at EPFL and Forschungszentrum Jülich, contributing theoretical guarantees for trainability of variational algorithms and deriving analytical control solutions for superconducting and qudit systems. Her work bridges theory and practice, producing results on expressivity and classical approximations of quantum machine learning models, including a publication on Random Fourier Features for VQML. Trained as an applied mathematician at ENSTA Paris and ENIT, she combines strong mathematical foundations with hands-on quantum control techniques. Notably, she was selected for the competitive TechGirls exchange program, reflecting early recognition for STEM leadership and international collaboration. Based in Palaiseau, France, she thrives at the intersection of rigorous theory, algorithmic trainability, and implementable quantum hardware solutions.
9 years of coding experience
3 years of employment as a software developer
Baccalaureate, with distinction, Baccalaureate, with distinction at Lycée pilote de Sfax
Engineer's degree, Applied Mathematics, Engineer's degree, Applied Mathematics at National Engineering School of Tunis (ENIT), University of Tunis El Manar
Engineer's degree, Applied mathematics, Engineer's degree, Applied mathematics at ENSTA Paris
Preparatory class, Mathematics & Physics, Preparatory class, Mathematics & Physics at IPEIS - Institut Préparatoire aux Études d'Ingénieur de Sfax