The MIT-Pillar AI Collective has selected three fellows for fall 2023. They are pursuing research in AI, machine learning, and data science, with the goal of commercializing their innovations. The Fellows include Alexander Andonian, Daniel Magley, and Madhumitha Ravichandra, each working on innovative projects in their respective fields as part of the program’s mission to advance research toward commercialization.
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MIT-Pillar AI Collective Fellows: Driving Innovation in AI, Machine Learning, and Data Science
Supporting Research and Commercialization
MIT-Pillar AI Collective has announced the selection of three talented fellows for the fall 2023 semester. These graduate students are conducting groundbreaking research in artificial intelligence, machine learning, and data science, with the aim of commercializing their innovations.
Practical Solutions and Value
The MIT-Pillar AI Collective plays a crucial role in advancing research toward commercialization. The fellows are focusing on practical solutions that hold immense value for various industries.
The Fall 2023 MIT-Pillar AI Collective Fellows
- Alexander Andonian SM ’21: Alexander’s research aims to build a generalist, multimodal AI scientist with the potential to create the next-generation autonomous AI agent for science. His work also includes leading a startup and collaborating with an early-stage AI-backed startup.
- Daniel Magley: Daniel’s research focuses on developing a swallowable wireless thermal imaging capsule to aid in treating and monitoring inflammatory bowel diseases, promising improved treatment efficacy and patient experience.
- Madhumitha Ravichandra: Madhumitha is advancing heat transfer and surface engineering techniques to enhance the safety and performance of nuclear energy systems. She aims to transform the development of radiation-hardened sensors, addressing a critical void in the market.
AI Solutions for Middle Managers
If you are looking to evolve your company with AI, MIT-Pillar AI Collective’s fellows offer practical insights and solutions to help you stay competitive and leverage AI to your advantage.
Practical Steps for AI Integration
- Identify Automation Opportunities: Locate key customer interaction points that can benefit from AI.
- Define KPIs: Ensure your AI endeavors have measurable impacts on business outcomes.
- Select an AI Solution: Choose tools that align with your needs and provide customization.
- Implement Gradually: Start with a pilot, gather data, and expand AI usage judiciously.
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