Summary
Jacopo Staiano is an associate professor and data scientist with eight years of industry and academic experience unlocking value from open and proprietary data. He develops machine learning tools for the RegTech domain while researching urban computing, social network analysis, NLP, and computational social science. His recent work explores the economics of mobile personal data, online virality, and city science, blending empirical analysis with practical tooling. Jacopo has moved between research labs and industry—leading research at reciTAL and working with financial and telecom partners—giving him a rare fluency in both rigorous experimentation and applied product needs. Based in Trentino-Alto Adige, Italy, he pairs a PhD in Information Technology with multimedia and signal-processing training, an interdisciplinary background that surfaces in creative approaches to data-driven problems. Notably, his trajectory spans high-profile visiting stints at MIT Media Lab and Stanford, signaling strong international research connections that inform his applied ML work.
8 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Information Technology, Doctor of Philosophy (Ph.D.), Information Technology at Università di Trento
Ma Sonic Arts, Digital Signal Processing, Physics Based Analysis and Synthesis of Sound, Ma Sonic Arts, Digital Signal Processing, Physics Based Analysis and Synthesis of Sound at Queen's University Belfast
BEng, Computer Engineering, BEng, Computer Engineering at Università di Pisa
English, Italian, French