Daniel Low is a data scientist and mental health researcher. He is a Research Scientist (tenure-track Principal Investigator) in the DAIR Center at Child Mind Institute in New York City. He is also a Visiting Scholar in the Department of Psychology at Harvard University.

His work leverages LLMs and causal inference to analyze text and speech data from studies on suicidal thoughts and behaviors, meditation, psychedelics, peer support, and AI chatbots. He uses data from ecological momentary assessments of hospitalized individuals, social media, qualitative interviews, and clinical trials.

He recently completed a NIMH T32 Postdoctoral Fellowship on causal inference for suicide prevention mentored by Matthew Nock (Department of Psychology, Harvard University) and Miguel Hernán (Department of Epidemiology, Harvard Chan School of Public Health) at the CAUSALab. He received his PhD in Speech and Hearing Bioscience and Technology from Harvard University in 2024 under the supervision of Satrajit Ghosh (MIT). His dissertation focused on detecting dozens of suicide risk factors in text and speech using LLMs, speech processing, and machine learning. His prior training was in Argentina, Italy, and the Netherlands in cognitive science and natural language processing.

He has co-founded the Harvard-MIT Speech and Language Biomarker Interest Group which organizes talks and discussions in this field, and he has taught machine learning and natural language processing at Harvard and other universities.

His work has been funded by an NIH NIMH T32 training grant, a RallyPoint Fellowship, an NIH NIDCD T32 training grant, an Amelia Peabody Professional Development Award, a Harvard Psychology Research Innovation Hodgson Fund, and a Fundación Williams grant.

He aspires to leverage AI, causal inference, and first-person experiences to reduce suffering and enhance flourishing in a scalable and equitable way.

He enjoys meditation, jiu jitsu, dance, standup, and Messi.

Training

• 2023-2024 - NIMH T32 Postdoctoral Fellowship, CAUSALab, Department of Epidemiology, Harvard Chan School of Public Health & Department of Psychology, Harvard University

Education

• 2024 - PhD in Speech and Hearing Bioscience and Technology, Harvard University
• 2018 - MA in Language and Communication Technologies, University of Groningen, the Netherlands
• 2018 - MSc in Cognitive Science, University of Trento, Italy
• 2015 - BA in Psycholinguistics & Neurolinguistics, University of Buenos Aires, Argentina

Interests