2024 MAD Design Fellows introduced | MIT Information

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 tasks whereas creating neighborhood. Pulling from completely different corners of design, they discover options in fields comparable to 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.

Video thumbnail

Play video

Meet the MIT MAD 2024 Design Fellows

Video: MIT Morningside Academy for Design

Sofia Chiappero, MCP pupil within the Division of City Research and Planning and MITdesignX affiliate: Chiappero is working across the intersection of neighborhood growth and expertise, aiming to deal with the challenges confronted by underserved communities liable to displacement in Latin America. Via a mix of social science and digital inclusion, she seeks to design a brand new method to researching human interactions and replicating them in digital settings, with the final word objective of preserving the id of those communities and giving them visibility for resilient development.

Clemence Couteau, MBA candidate within the MIT Sloan College of Administration: Couteau is tackling the rise of postpartum despair amongst U.S. moms by aiming to develop a digital resolution empowering at-risk pregnant ladies to enhance psychological well being outcomes. This entails a self-directed remedy chatbot in a cell app, based mostly on the “ROSE” protocol.

Mateo Fernandez, MArch pupil within the Division of Structure: Fernandez explores the best way to depart from the present development trade, designing alternate options comparable to rising buildings with biomaterials, and deploying superior 3D printing applied sciences for constructing.

Charlotte Folinus, PhD candidate within the Division of Mechanical Engineering: Folinus creates new strategies for designing delicate robots, utilizing these instruments to design delicate robots for light interactions, unsure environments, and lengthy mechanical lifetimes. “I’m actually excited to be surrounded by individuals who can do issues I can not. That is after I’m the perfect model of myself. I believe that is the neighborhood I will discover right here,” she says.

Alexander Htet Kyaw, grasp’s pupil within the Division of Structure and the Division of Electrical Engineering and Laptop Science and MITdesignX affiliate: Htet Kyaw’s present analysis makes use of robotic meeting, multimodal interplay, and generative AI to problem typical manufacturing and fabrication practices. He’s engaged on an AI-driven workflow that interprets design intent into tangible objects via robotic meeting.

Dení López PhD candidate within the Division of City Research and Planning: As a Design Fellow, López makes use of design analysis to judge and lengthen 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 function of multisensory influences on cognition and studying, and seeks to search 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 Division of Electrical Engineering and Laptop Science: Perroni-Scharf is at present 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 fairly from their construction. These may be utilized to quite a lot of duties, from battery design to accessibility.

Lyle Regenwetter, PhD candidate within the Division of Mechanical Engineering: Regenwetter develops strategies to include design necessities, comparable to security constraints and efficiency targets, into the coaching means of generative AI fashions.

Zane Schemmer, PhD candidate within the Division of Civil and Environmental Engineering: Schemmer’s analysis goals to reduce the carbon footprint of the constructed setting by designing environment friendly constructions that think about the supply of native supplies.

Leave a Reply