何恺明MIT两名新弟子曝光：首次有女生入组，另一位是FNO发明者，均为华人

Core Insights - The article highlights the achievements of two Chinese scholars, Hu Keya and Li Zongyi, who have made significant contributions to the field of AI and machine learning, particularly in the context of their research at MIT under the guidance of Professor He Kaiming [1][3]. Group 1: Hu Keya's Achievements - Hu Keya, an undergraduate from Shanghai Jiao Tong University, has been involved in research at the Brain-Machine Interface Laboratory, focusing on AI applications in neuroscience to aid mental health [6][12]. - She has authored multiple high-impact papers, including one accepted at the EMBC conference and another at NeurIPS 2024, showcasing her contributions to self-supervised learning and AI for science [7][10]. - Hu Keya's team won the "Best Paper Award" at the ARC Prize 2024 competition, demonstrating her innovative approach in developing methods for data generation and model fine-tuning [10][12]. Group 2: Li Zongyi's Contributions - Li Zongyi, known for his work on the Fourier Neural Operator (FNO), has made significant strides in the application of neural operators to solve physical equations efficiently [15][18]. - His research has been widely recognized, with over 12,000 citations on Google Scholar, establishing him as a key figure in the AI for Science domain [18][20]. - Currently a postdoctoral researcher at MIT, Li Zongyi has accepted a position as an assistant professor at New York University, indicating his rising prominence in the academic field [20][22]. Group 3: He Kaiming's Research Focus - Professor He Kaiming has emphasized "AI for Science" as a primary research direction, aligning with the expertise of his newly joined team members, Hu Keya and Li Zongyi [23][24]. - His team, which includes six talented researchers, is positioned to make significant advancements in the intersection of AI and fundamental scientific research [23][24].