Antonio Tiene

Antonio Tiene is an accomplished LLM Engineer at Multiverse Computing, specializing in compressing large language models through advanced pruning techniques since April 2024. Previously, Antonio held the position of Tensor Network Engineer, where innovative tensor network methods were utilized to enhance deep learning model efficiency. Prior to Multiverse, Antonio served as a Postdoctoral Researcher at Universidad Autónoma de Madrid and as a Visitor Researcher at Monash University. An extensive research background includes contributions to the theoretical aspects of the renormalization procedure and advancements in modeling electronically doped transition metal dichalcogenides. Antonio's educational credentials encompass a PhD in Condensed Matter and Materials Physics from Universidad Autónoma de Madrid, along with master's and bachelor's degrees in Physics from Università degli Studi di Padova.