Elia Antonini is a PhD student specializing in Health Economics Evaluation at the University of Basel, in collaboration with ECPM. Previously, Elia served as a Data Science Intern at Johnson & Johnson, where a Markov Chain Monte Carlo (MCMC) framework was developed for supply chain optimization, significantly enhancing operational efficiency. Elia's contributions also included an advanced ODE-based math model during a Master's thesis, which impacted clinical trial designs for CAR-T cell therapy. As a Data Scientist in Product Management at Johnson & Johnson, Elia led initiatives integrating climate data and financial risk metrics to strengthen pharmaceutical supply chain resilience. Earlier experience includes project management at RoboCode.it, focusing on financial planning and strategic development in coding education. Elia holds a Master's degree in Mathematics from the Università di Pisa and a Bachelor's degree in Mathematics, along with educational experiences in Mathematics and Computer Science at Universität Basel and Lucerne University of Applied Sciences and Arts.
This person is not in the org chart
This person is not in any teams
This person is not in any offices