David HojahResearch Affiliate
David Hojah is a research affiliate with the Tangible Media Group at the MIT Media Lab. His work joins AI with tangible interaction to keep memory, presence, and connection reachable when cognition and mobility begin to fade. He is CEO and founder of Parrots Medical AI, a neurotech company. He brings deep experience across medical devices, cloud, AI/ML, generative, physical, and agentic AI, human-centered design, innovation, education, research and development, aerospace, robotics, assistive technology, and home healthcare.
Key research:
• Extending the group's TeleAbsence lineage toward the sensing and interpretation of cognitive state across time and distance
• Diagnostics for Alzheimer's, cancer, chronic conditions, and longevity through advanced technologies
• AI and multimodal systems that turn lived memory into a living archive families can return to
• Agentic and generative AI applied across healthcare, education, and industries such as aerospace, robotics, and home care
• Tangible interfaces for people with cognitive decline and their caregivers
• Continuous, ambient sensing of everyday behavior as an early signal of change — unobtrusive across home, clinic, and community settings
• Digital biomarkers drawn from speech, movement, cognition, and physical health
• Longitudinal monitoring and early detection for patients and healthcare providers
• Multimodal diagnostic support combining voice, vision, and interaction data in the home setting
• Evaluation of assistive, adaptive, and physical AI in real clinical and home-care environments, with caregivers as co-designers
• Extending the group's TeleAbsence lineage toward the sensing and interpretation of cognitive state across time and distance
• Diagnostics for Alzheimer's, cancer, chronic conditions, and longevity through advanced technologies
• AI and multimodal systems that turn lived memory into a living archive families can return to
• Agentic and generative AI applied across healthcare, education, and industries such as aerospace, robotics, and home care
• Tangible interfaces for people with cognitive decline and their caregivers
• Continuous, ambient sensing of everyday behavior as an early signal of change — unobtrusive across home, clinic, and community settings
• Digital biomarkers drawn from speech, movement, cognition, and physical health
• Longitudinal monitoring and early detection for patients and healthcare providers
• Multimodal diagnostic support combining voice, vision, and interaction data in the home setting
• Evaluation of assistive, adaptive, and physical AI in real clinical and home-care environments, with caregivers as co-designers
Interests:
• Human–AI interaction in caregiving and cognitive health
• Agentic and generative AI applied to health, memory, and everyday support
• Assistive robotics and autonomous mobility
• Intergenerational memory, presence, and the design of absence
• Tangible and embodied interfaces that make abstract data physical and legible
• Aging in place, dementia care, and the lived experience of family caregiving
• Translating research prototypes into regulated, deployable medical products
• Ethics, consent, and dignity in AI systems and tools
• Sustainable and responsible AI — designing systems that last and scale
• Multilingual and cross-cultural design and HCI
• Human–AI interaction in caregiving and cognitive health
• Agentic and generative AI applied to health, memory, and everyday support
• Assistive robotics and autonomous mobility
• Intergenerational memory, presence, and the design of absence
• Tangible and embodied interfaces that make abstract data physical and legible
• Aging in place, dementia care, and the lived experience of family caregiving
• Translating research prototypes into regulated, deployable medical products
• Ethics, consent, and dignity in AI systems and tools
• Sustainable and responsible AI — designing systems that last and scale
• Multilingual and cross-cultural design and HCI