Zenas Chao has always been fascinated by the human mind, and curious about the development of machines with human-like intelligence, and the origins of free will, and consciousness. After graduating from college in Taiwan with a dual B.S. in Life Science and Chemistry, he attended Georgia Institute of Technology in the United States to study Biomedical Engineering. For his Ph.D., he grew neurons in petri dishes and connected them to robots demonstrating that a machine with an artificial organic brain can learn purposeful behavior. After graduation, he moved to Japan and held positions at the RIKEN Brain Science Institute (RIKEN-BSI) as a Research Scientist, the National Institute for Physiological Sciences (NIPS) as an Assistant Professor, and Kyoto University as a Junior Associate Professor, to study how to decode brain signals from behaving humans and monkeys and enable the control of robots and computers by the brain. In September 2019 he joined the International Research Center for Neurointelligence (IRCN) at the University of Tokyo as a Project Associate Professor, using his research experience in silico, in vitro, and in vivo, to search for evidence of predictive coding, a framework many consider a “grand unified theory of cognition”.