Since its launch in 2022, the MIT Morningside Academy for Design (MAD) has supported MIT graduate college students with a fellowship, permitting recipients to pursue design analysis and initiatives whereas creating group. Pulling from completely different corners of design, they discover options in fields resembling sustainability, well being, structure, city planning, engineering, and social justice.
On Might 1, MAD introduced the 2024 cohort of Design Fellows on the MIT Museum.
Meet the MIT MAD 2024 Design Fellows
Video: MIT Morningside Academy for Design
Sofia Chiappero, MCP pupil within the Department of Urban Studies and Planning and MITdesignX affiliate: Chiappero is working across the intersection of group improvement and expertise, aiming to handle the challenges confronted by underserved communities susceptible to displacement in Latin America. By way of a mix of social science and digital inclusion, she seeks to design a brand new strategy to researching human interactions and replicating them in digital settings, with the final word objective of preserving the identification of those communities and giving them visibility for resilient development.
Clemence Couteau, MBA candidate within the MIT Sloan School of Management: Couteau is tackling the rise of postpartum melancholy amongst U.S. moms by aiming to develop a digital answer empowering at-risk pregnant girls to enhance psychological well being outcomes. This includes a self-directed remedy chatbot in a cell app, primarily based on the “ROSE” protocol.
Mateo Fernandez, MArch pupil within the Department of Architecture: Fernandez explores the best way to depart from the present building trade, designing options resembling rising buildings with biomaterials, and deploying superior 3D printing applied sciences for constructing.
Charlotte Folinus, PhD candidate within the Department of Mechanical Engineering: Folinus creates new strategies for designing comfortable robots, utilizing these instruments to design comfortable robots for mild interactions, unsure environments, and lengthy mechanical lifetimes. “I’m actually excited to be surrounded by individuals who can do issues I can’t. That is after I’m the most effective model of myself. I believe that is the group I will discover right here,” she says.
Alexander Htet Kyaw, grasp’s pupil within the Department of Architecture and the Department of Electrical Engineering and Computer Science and MITdesignX affiliate: Htet Kyaw’s present analysis makes use of robotic meeting, multimodal interplay, and generative AI to problem standard manufacturing and fabrication practices. He’s engaged on an AI-driven workflow that interprets design intent into tangible objects by means of robotic meeting.
Dení López PhD candidate within the Department of Urban Studies and Planning: As a Design Fellow, López makes use of design analysis to judge and prolong the scope of Bicheeche Diidxa’, a long-standing Participatory Motion Analysis initiative for catastrophe resilience targeted on 5 Zapotec communities alongside the Los Perros River in Oaxaca, Mexico.
Caitlin Morris, PhD candidate in media arts and sciences: Morris’s analysis explores the position of multisensory influences on cognition and studying, and seeks to seek out and construct the bridges between digital and computational interfaces and hands-on, community-centered studying and instructing practices.
Maxine Perroni-Scharf, PhD candidate within the Department of Electrical Engineering and Computer Science: Perroni-Scharf is at the moment engaged on creating methods that allow the invention and design of extremal metamaterials — 3D printed supplies that exhibit excessive properties arising not from their chemical composition, however reasonably from their construction. These will be utilized to quite a lot of duties, from battery design to accessibility.
Lyle Regenwetter, PhD candidate within the Department of Mechanical Engineering: Regenwetter develops strategies to include design necessities, resembling security constraints and efficiency targets, into the coaching technique of generative AI fashions.
Zane Schemmer, PhD candidate within the Department of Civil and Environmental Engineering: Schemmer’s analysis goals to reduce the carbon footprint of the constructed setting by designing environment friendly buildings that contemplate the provision of native supplies.
