Before entering the MIT SFMBA, Karen Kumakura Inomata, SFMBA ’23, worked as a senior manager at a global management consulting firm where she connected the pharmaceutical business in Japan to the wider world with a range of projects, including cross-border M&A and market-entry and R&D strategies.
Takeda is a global biopharmaceutical corporation with an ambitious zero-waste-to-landfill goal. BioLife, a subsidiary of Takeda, sought to develop prioritized recycling strategies in support of Takeda’s sustainability pledge and goals. A team of three Sustainable Business Lab (S-Lab) students tackle...
Tribute to John “Mac” McQuown, long-time member of the GCFP Advisory Board
Georgia Perakis focuses her work on pricing and supply chains, using AI to help retailers better predict demand and determine optimal promotional strategies based on different variables.
“We’re looking for innovative ways to combine people and computers by taking advantage of what each does best,” says Tom Malone.
Danielle Li studies how AI impacts work and the workplace. “I’m more interested in how businesses put these tools to use, how they impact the productivity of workers, the type of work they are able to do, and what their careers might look like in an AI-intensive world,” she says.
Kate Kellogg studies the implementation of narrow AI — AI systems designed to perform specific tasks — as well as generative AI, among frontline knowledge workers. She’s exploring the barriers to AI implementation and the mechanisms for addressing them.
As co-faculty director of the Shaping the Future of Work initiative at MIT, Simon Johnson works on the economics and politics of AI development and deployment in the US and globally.
Swati Gupta explores machine learning and optimization to improve the efficiency, quality, and fairness of the decisions models make.
Vivek Farias is using massive parallelism—many processors working simultaneously—to speed up different types of computations. He is also studying the intersection of large language models and human behavior to simulate consumer behavior and determine the impact of bias on LLMs.
