Research interests
My broader research topics include ubiquitous computing, Digital Health, and Population Healthcare. However, I seek practical and novel solutions by applying advancements in human-computer interaction (HCI), digital, Cloud, and computational (Machine learning/AI ) to bring evidence-based solutions from engineering to healthcare.
At Cambridge, as a Research scholar, I am exploring ways to innovate healthcare from an engineer's point of view. I bring over 20 years of software engineering, data science, and IOT experience and find practical, evidence-based solutions and means to make them operational. Work from https://healthprofile.ai/ and knowledge and insights on digital health, EHR, and EMR seeking solutions in population healthcare, policy and administrative areas.
Strategic themes
Complex, resilient and intelligent systems
Self-organizing data structures and Vector databases enable agents to perceive health data for better care. Improving a Healthcare data and service model that works around the key Players ( Patient, Provider, and Payer) will bring evidence-based healthcare models that can improve healthcare globally ( private, public-funded player models).
Predictive AI models that detect health conditions with various sensors (biosensors, IoT devices, Image analysis ) within self-caring, primary and secondary care setups.
Department role and responsibilities