Carlo Vittorio Cannistraci was born in Milazzo, Sicily, Italy, in 1976. He received the M.S. degree in biomedical engineering from the Polytechnic of Milano, Italy, in 2005, and the Ph.D. degree in biomedical engineering from the Inter-Polytechnic School of Doctorate, Italy, in 2010. From 2009 to 2010, he was Visiting Scholar with the Integrative Systems Biology Laboratory of Dr. Trey Ideker, University of California San Diego (UCSD), USA. From 2010 to 2013, he was a Postdoctoral Researcher and a Research Scientist in machine intelligence and complex network science for personalized biomedicine with the King Abdullah University of Science and Technology (KAUST), Saudi Arabia. From 2014 to 2020, he was a Group Leader and the Head of the Biomedical Cybernetics Laboratory, Biotechnological Center (BIOTEC). He was affiliated with the Department of Physics and the Department of Computer Science, Technische Universität Dresden, Germany. Since 2021, he has been a Chair Professor and a Chief Scientist with the Center for Complex Network Intelligence, Tsinghua Laboratory of Brain and Intelligence, Beijing, China. He is currently an Adjunct Professor with the Department of Computer Science and the Department of Biomedical Engineering, Tsinghua University. He is also affiliated with the MPI Center for Systems Biology, Dresden, Germany. He is a Theoretical Engineer. His research interests include subjects at the interface between complex data and information, physics of complex systems, complex networks, and machine intelligence, with particular interest for applications in life and socioeconomical science. He is the author of three book chapters and more than 40 articles. TU Dresden honored him with the Young Investigator Award 2016 in physics for his recent work on the local-community-paradigm theory and link prediction in monopartite and bipartite complex networks. In 2018, Nature Communications featured his article titled “Machine learning meets complex networks via coalescent embedding in the hyperbolic space” in the selected interdisciplinary collection of recent research on complex systems. In 2019, he was awarded the Shanghai 1000 Plan and the Zhou Yahui Chair Professorship at Tsinghua University. In 2020, he was awarded the National High-Level Talent Program of the Ministry of Science and Technology of China.