Daniel Low is a PhD student in the Speech and Hearing Bioscience and Technology program at Harvard University and works in the Senseable Intelligence Group at MIT under the primary mentorship of Dr. Satra Ghosh. As a RallyPoint Fellow, Daniel is studying how to predict suicidal ideation among veterans from their prior social media posts and interactions using machine learning and causal inference. He also studies how psychiatric and neurological symptoms can be detected from the acoustic features found in speech. He seeks to develop technology that can empower individuals by providing them with digital assessments and resources and thus overcome barriers to treatment such as stigma, cost, and sociocultural inequalities.

Daniel holds a BA in Psycholinguistics and Neurolinguistics from the University of Buenos Aires and a double Master's degree in Language and Communication Technologies from the University of Trento and the University of Groningen. He has done research in natural language processing, neuropsychology, and cognitive neuroscience.