Pat Pataranutaporn is a technologist and a researcher at the Massachusetts Institute of Technology (MIT), where he explores the intersection of synthetic virtual humans and synthetic biology, specifically at the interface between biological and digital systems. He is currently a Ph.D. candidate in the Fluid Interfaces research group at MIT Media Lab, where he works with his collaborators at NASA, NTT DATA, IBM, and Harvard to examine the future of human-computer integration.
His interdisciplinary research ranges from investigating AI-generated characters for learning and well-being, human-AI co-reasoning, wearable lab on the body with programmable bio-digital organ for space exploration, machine learning model to detect linguistic markers related to mental health issues, and mind-controlled 3D printer.
Pat’s research has been published in Nature, IEEE, ACM CHI, ACM SIGGRAPH, ACM ISWC, ACM Augmented Humans, Royal Society of Chemistry, etc. He also serves as reviewer and editor for IEEE and ACM publications. In 2022, Pat was for NASA/SETI Frontier Development Lab in collaboration with the Department of Energy.
Pat’s artistic projects have been exhibited at the Bangkok City Gallery (Thailand), National Museum of Singapore (Singapore), Essex Peabody Museum (USA), London Design Festival (UK), Transmediale Festival (Germany), National Taiwan Science Education Center (Taiwan), IDEA Museum (Arizona), Mesa Arts Center (Arizona), Autodesk Gallery (California), and more.
Pat’s research publication is recognized worldwide and has been featured in the United Nations AI for Good forum, Time magazine, Forbes, National Geographic, FastCompany, The Guardian, Disruptive Innovation Festival, and more.
Pat Pataranutaporn is a technologist/scientist/artist at the Massachusetts Institute of Technology (MIT). He is part of the Fluid Interfaces research group at MIT Media Lab led by Professor Pattie Maes, which specializes in designing on-body technology for human enhancement. Pat’s research is at the intersection of biotechnology and wearable computing, specifically at the interface between biological and digital systems.