Nikhil has extensive expertise in developing and deploying AI and Machine Learning products, particularly in areas like Search, Natural Language Processing (NLP), computer vision, and computational biology. He previously worked as a Data & Applied Scientist at Microsoft Bing Search and as a research assistant at EPFL, focusing on distributed computing and genetics.
Nikhil is committed to accelerating longevity research and extending health span through the Healome.one application, which he developed to advance these goals. Healome is based upon an advance SOTA blood aging clocks (for full body and organ specific aging ) on top of 1.5M blood test records via partnerships from diagnostic test centres, research labs across the USA, UK, and India.
The Healome application and it’s AI health assistant utlises one of the largest amounts of anonymised longitudinal data sets of over 1.5million records. The Healome application has an alogrithmic blood marker based biological ageing clock which is interpretable at the organ and disease levels. Healome.one is already working with Careforme.io to analyse blood work for decentralised clinical trials and support their trial participants.
Healome.one is being integrated for our first ADHD dietary clinical trial to give AI assistance to our participants and to record functional cognitive test scores and feedback.