Tommaso Gallingani is an experienced Senior Data Scientist at Ammagamma since November 2019, with a background in data science and machine learning applications for industrial processes. Prior roles include Research and Development Engineer at AlmaPlasma srl, where the design of non-equilibrium plasma sources was undertaken, and a Visiting PhD Student at Case Western Reserve University involved in a project with the University of Bologna. Additionally, Tommaso has contributed as a Research Fellow in cold atmospheric plasma technologies for eco-sustainable packaging at the Centre for Research in Advanced Mechanical Engineering Applications and Materials Technology, and has held research positions at the University of Modena and Reggio Emilia and ENEA. Tommaso holds a PhD in Mechanics and Advanced Engineering Sciences, a Professional engineering license, and degrees in Energy & Nuclear Engineering and Energy Engineering from Alma Mater Studiorum – Università di Bologna.