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Daniel Low

Daniel Low, PhD

Research Scientist, Center for Data Analytics, Innovation, and Rigor (DAIR)
Child Mind Institute

Daniel Low, PhD, is a research scientist (tenure-track principal investigator) in the Center for Data Analytics, Innovation, and Rigor (DAIR) at Child Mind Institute. A data scientist and mental health researcher, Dr. Low is also currently a visiting scholar in the Department of Psychology at Harvard University. His work combines large language models (LLMs), acoustic speech processing, and causal inference to better understand and treat suicidal thoughts and behaviors, as well as study the effect of meditation, psychedelics, peer support, social media, and AI chatbots on mental health. He draws on data from ecological momentary assessments, smartphones, interviews, and clinical trials.

Dr. Low recently completed a NIMH T32 postdoctoral fellowship on causal inference for suicide prevention mentored by Matthew Nock (Department of Psychology, Harvard University) and Miguel Hernan (Department of Epidemiology, Harvard Chan School of Public Health). He received his PhD in speech and hearing bioscience and technology from Harvard University, which was carried out at MIT under the supervision of Satrajit Ghosh (MIT, Harvard Medical School).

Dr. Low has experience teaching machine learning and natural language processing at Harvard, where he also co-founded the Harvard-MIT Speech and Language Biomarker Interest Group. He’s also received training in cognitive science and natural language processing in Argentina, Italy, and the Netherlands. Dr. Low has received a Harvard Psychology Research Innovation Grant, a RallyPoint PhD fellowship, an Amelia Peabody Professional Development Award, and was named a Harvard student leader in AI.

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

Training

  • NIMH T32 Postdoctoral Fellowship, Causal Inference for Suicide Prevention, Harvard Chan School of Public Health

Education

  • PhD, Speech and Hearing Bioscience and Technology, Harvard University
  • MA, Language and Communication Technologies, University of Groningen
  • MSc, Cognitive Science, University of Trento
  • BA, Psycholinguistics and Neurolinguistics, University of Buenos Aires