Ali shares:
During my recent Lean Canvas presentation with Oxford University Innovation, I presented Harmony, a platform being developed within DeepSynaps — an interdisciplinary AI and neuroscience organisation focused on building the future of clinical intelligence, brain-inspired computing, and human-centred neurotechnology.
The Lean Canvas is used by founders to develop a clearer understanding of their target markets. This one-page template helps entrepreneurs test assumptions, identify key problems and refine their startup ideas into clear value propositions.
The Harmony platform was designed to support families and professionals working with children with autism through a multimodal and agentic AI architecture. The platform combines multiple AI models, evidence-aware systems, and large-scale scientific datasets to help interpret behavioural, sensory, communication, and environmental signals in a more connected and personalised way. By integrating one of the world’s largest neuroscience and clinical evidence datasets with multimodal inputs, the goal is to create a closed-loop intelligence system that can assist caregivers and clinicians with more informed and contextual decision support, while always keeping humans at the centre of care.
More broadly, DeepSynaps is focused on developing next-generation clinical intelligence platforms that combine AI, neuroscience, multimodal biomarkers, evidence systems, and human-centred design to support areas such as neuromodulation, cognitive health, autism and personalised health care.
The MSc in Translational Health Sciences has played an important role in shaping how I approach this work particularly in understanding how to translate research and emerging technologies into practical, ethical, and clinically meaningful systems that can create real-world impact.