Daniel Low
Research Scientist (tenure-track PI) at Harvard University
United States
Summary
👤
Senior🎓
Top SchoolDaniel Low is a tenure-track research scientist and former Harvard postdoctoral fellow with eight years of experience applying NLP, speech processing, causal inference, and machine learning to mental health challenges such as suicide prevention, psychotherapy, and peer support. He leads interdisciplinary projects at the Child Mind Institute that blend large language models, speech biomarkers, and psychometrics to build clinical AI tools and chatbots for real-world mental health interventions. Trained across Harvard, MIT, Groningen, and Trento, he pairs rigorous experimental design with translational focus—turning complex signal-processing and causal methods into deployable biomarkers and decision-support systems. His work is notable for integrating causal inference into LLM and speech pipelines, a less obvious strength that helps move research beyond correlation to actionable insights.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Cognitive Science, Master of Science - MS, Cognitive Science at Università di TrentoPhD, NLP and speech processing for mental health, PhD, NLP and speech processing for mental health at Harvard UniversityMaster's degree, Language and Communication Technologies, Master's degree, Language and Communication Technologies at University of GroningenLicentiate degree, Psycholinguistics, Licentiate degree, Psycholinguistics at Universidad de Buenos Aires
English, Italian, Spanish
Github Skills (54)
jupyter10
jupyter-notebook10
interoperability9
notebook9
form-generator9
standardized9
schema9
designer9
reddit9
protocols8
json-form8
render8
survey8
dynamic-forms8
speech6
Programming languages (7)
Github contributions (5)
mentalwellbeing/WellBeingStudy
Aug 2021 - Nov 2021
Contributions:1 PR, 163 pushes, 1 comment in 2 months
mentalwellbeing/WellBeingStudy_daily
Oct 2021 - Jun 2024
Contributions:75 pushes, 1 branch in 2 years 7 months
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