Spring 2024 MIT-Pillar AI Collective Fellows: Revolutionizing AI Innovations

The MIT-Pillar AI Collective has announced six fellows for the spring 2024 semester. The program aims to support graduate students in their final year of a master’s or PhD program conducting research in the areas of AI, machine learning, and data science with the goal of commercializing their innovations. Launched by MIT’s School of Engineering and Pillar VC in 2022, the MIT-Pillar AI Collective supports faculty, postdocs, and students conducting research on AI, machine learning, and data science.

The spring 2024 MIT-Pillar AI Collective Fellows include Yasmeen AlFaraj, Ruben Castro Ornelas, Keeley Erhardt, Vineet Jagadeesan Nair, Mahdi Ramadan, and Rui (Raymond) Zhou. These fellows come from a variety of academic backgrounds and will be conducting innovative research in AI, machine learning, and data science with the aim of bringing their work to market.

Yasmeen AlFaraj is working on applying machine learning to design sustainable plastics, Ruben Castro Ornelas is focusing on building multipurpose robots with AI control solutions, Keeley Erhardt is exploring the commercial applications of her work in detecting fraud and covert activity, Vineet Jagadeesan Nair is working on applying machine learning to power systems, Mahdi Ramadan is leveraging AI to build commercial neuroprosthetics, and Rui (Raymond) Zhou is developing multimodal AI for engineering design.

Through the support of the MIT-Pillar AI Collective, these fellows will have the opportunity to bring their innovative ideas to the market and make a real impact in the field of AI and machine learning. This program aims to commercialize their innovations and support them in their entrepreneurial pursuits. With the groundbreaking research being conducted by these fellows, AI technology is poised to make significant advances in the near future.

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