Dunya Artal is an Afghan artist and women's rights advocate studying at Marymount School in New York. She co-founded Shap Gard, a mural group in Kabul advocating for women's rights, and continued teaching art remotely while in hiding after Kabul's fall. As co-founder of Hidden Torch, she combines AI technology with education to create accessible learning opportunities in areas with limited internet access. Through Art for Power, she teaches children from conflict zones to express their experiences through art, continuing her mission of using creativity to drive social change.

Leandra Tejedor is an MIT IDM Fellow and Forbes 30 Under 30 honoree studying at the intersection of Machine Learning and Human-Computer Interaction at MIT. She previously co-founded Vidcode, an award-winning creative coding platform that reached over 10 million learners globally before being acquired. Her work has been featured in Forbes, Fast Company, TechCrunch, and other major publications. She has spoken at venues including the Forbes 30 Under 30 Summit, MIT Media Lab, and MIT Sloan. Currently, she researches ML/HCI at MIT while contributing to initiatives like Women Who AI and Sundai Club Boston.

Eden Adler is a former Research Assistant at MIT Media Lab's Personal Robots Group. She bridges neuroscience and technology through her dual master's degrees at MIT - one in EECS and another through the Integrated Design & Management program between MIT's School of Engineering and Sloan School of Management. As an early engineer at Lemonade (8th hire), she helped scale the company from 30 employees to over 1,000 through its successful IPO. Her work focuses on the intersection of human-AI interaction in education through the Personal Robots Group.

Saloni Bedi is an Industrial Designer at Loft Design focused on creating products that combine longevity with human impact. Currently serving as IDSA Boston Chapter Chair, she bridges healthcare, sustainability, and social innovation through human-centered design. Her work at MIT's Gray Lab includes developing a wearable hydration monitoring device for elderly care, showcasing her commitment to designing for vulnerable populations.

Aldo is a Research Engineer at the MIT-IBM Watson AI Lab focused on integrating symbolic and neural AI approaches to tackle fundamental challenges in deep learning, including sample efficiency, generalization, and interpretability. His research aims to bridge the gap between traditional AI methods and modern deep learning to create more robust and efficient AI systems.