Ge Yang is a Postdoc Fellow at the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI) since January 2021. Prior experience includes a Researcher role at Schuster Lab from January 2011 to 2020, where Ge Yang developed a single electron quantum dot that became the first electron on solid neon qubit, resulting in a publication in Nature. Additionally, Ge Yang interned as a Research Scientist at DeepMind focusing on reinforcement learning and natural language from July to December 2019, and as a Research Intern at Meta from October 2018 to July 2019, concentrating on reinforcement and representation learning for decision-making systems. Ge Yang co-founded Sunshine-Library.org and served as the UI designer and project manager for its first generation ebook library app between March 2010 and January 2013. Educational qualifications include degrees from the University of Chicago (2011-2020), Yale University (2006-2010), Peking University (2005-2006), and completion of secondary education at Beijing Jingshan School (1998-2005).
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NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI)
The NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI, pronounced /aɪ-faɪ/) is one of the inaugural NSF AI research institutes. The IAIFI is enabling physics discoveries and advancing foundational AI through the development of novel AI approaches that incorporate first principles from fundamental physics. AI is transforming many aspects of society, including the ways that scientists are pursuing groundbreaking discoveries. For many years, physicists have been at the forefront of applying AI methods to investigate fundamental questions about the Universe. Further progress will require a revolutionary leap in AI, as both the complexity of physics problems and the size of physics datasets continue to grow. The goal of the IAIFI is to develop and deploy the next generation of AI technologies, based on the transformative idea that artificial intelligence can directly incorporate physics intelligence. IAIFI researchers are using these new AI technologies to tackle some of the most challenging problems in physics, from precision calculations of the structure of matter, to gravitational wave detection of merging black holes, to the extraction of new physical laws from noisy data. IAIFI researchers are also working to transfer these technologies to the broader AI community, since trustworthy AI is as important for physics discovery as it is for other applications of AI in society. To cultivate human intelligence, the IAIFI promotes training, education, and outreach at the intersection of physics and AI. In this way, the IAIFI is advancing physics knowledge – from the smallest building blocks of nature to the largest structures in the Universe – and galvanizing AI research innovation.