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About

Tong Lee is a pioneering researcher whose work spans the transformative intersection of artificial intelligence and biomedical engineering. Best known for co-authoring the landmark report "On the Opportunities and Risks of Foundation Models" (2021, 2,177 citations), Lee helped define the paradigm shift in AI driven by large-scale models like BERT, GPT-3, and DALL-E. This influential work introduced the term "foundation models" to describe their central yet incomplete role, sparking global discourse on their capabilities, risks, and societal implications. In parallel, Lee has made significant contributions to drug discovery through the development of IonFlux, a microfluidic patch clamp system evaluated for human ether-à-go-go related gene (hERG) channel physiology and pharmacology (2011, 40 citations). This innovation advanced ion channel assay technology, improving throughput and predictive accuracy in cardiac safety testing. By bridging cutting-edge AI research with practical biomedical tools, Lee exemplifies interdisciplinary impact, shaping both the theoretical foundations of modern AI and the experimental methodologies of pharmaceutical science.