Summary
Josep Hornos is an AI scientist and PhD candidate with nine years of hands-on experience at the intersection of computer science and business management, currently applying research-grade AI at Corporación Alimentaria Guissona while completing doctoral work with the Logic Optimization Group. He blends strong academic performance—top grades across CS, data science and AI programs including a postdegree in Deep Learning and an LSE fellowship—with practical roles spanning research engineering, product development, and startup cofounding. His background includes applied research at Eurecat, leading technical projects and conferences for Iberdrola, and building software systems from prototype to production. Josep’s strengths are in logic, optimization and ML for real-world industry problems, complemented by experience in data analysis and technical coordination. He’s as comfortable publishing and prototyping in academia as he is orchestrating cross-functional programs in industry, and he brings a rare combination of rigorous quantitative training and business acumen. Outside work he channels a persistent curiosity into music, which often informs his creative approach to problem solving.
9 years of coding experience
5 years of employment as a software developer
UPC Universitat Politècnica de Catalunya
London School of Economics and Political Science
Master of Engineering - MEng, Computer Science - Data Analysis / Big Data, 9.81, Master of Engineering - MEng, Computer Science - Data Analysis / Big Data, 9.81 at Universitat de Lleida