KAIST PhD Student Shin Lee Selected as Apple Machine Learning Research Scholar

KAIST announced on the 17th that Lee Shin-ui (photo), a doctoral student at the Kim Jae-cheol AI Graduate School, has been selected as a '2023 Apple Machine Learning Research Scholar.'

Apple's Machine Learning Research Scholar program was launched in 2020 with the aim of discovering and supporting emerging researchers in the field of computer science.

Each year, a small number of graduate students worldwide in related fields are selected to receive funding and internship opportunities for two years to support their research and participation in academic conferences. They also receive mentoring from current Apple engineers.

This year, 22 doctoral students from universities such as Johns Hopkins University, MIT, Stanford University in the U.S., Imperial College London and the University of Edinburgh in the U.K., Tsinghua University in China, Hong Kong University of Science and Technology, and Technion ? Israel Institute of Technology were selected as Apple Machine Learning Research Scholars.

In Asia, four scholars were selected, including Lee Shin-ui, two from China, and one from Hong Kong. Lee Shin-ui is the first from Korea to be named on the Apple Machine Learning Research Scholar list.

Lee Shin-ui is a researcher in the field of transfer learning, which involves retraining large-scale artificial intelligence models that have been trained on massive data such as images or corpora for new purposes.

So far, Lee Shin-ui has published a total of 11 papers in prestigious AI conferences such as the Association for Computational Linguistics (ACL), the International Conference on Learning Representations (ICLR), and the Conference on Neural Information Processing Systems (NeurIPS).

Lee Shin-ui expressed his ambition, saying, “I want to conduct research that applies artificial intelligence technology to natural sciences such as physics to support various scientific fields.”