Subhrajit is a research scientist at Google Brain where he focuses on developing machine learning systems for analysing health data. He has co-developed novel sparse multi-task deep neural networks for adverse event prediction in hospitals and is currently focusing on building inclusive healthcare technologies. Previously, he has worked at IBM Research Australia for three years as a research staff member. During this time, he co-designed portable machine learning systems for seizure management in epileptic patients. Recognizing the potential of this work, Forbes magazine included him in their prestigious 30 Under 30 list. He has authored 35+ scientific papers. His work has been cited 1000+ times and featured in IEEE Spectrum, IEEE Pulse, VentureBeat, The World Economic Forum, amongst others. He also serves as an Associate Editor of the Neuromorphic Engineering section of Frontiers in Neuroscience and a reviewer for several AI conferences. He earned his BE degree from Jadavpur University, India and PhD from Nanyang Technological University, Singapore.