Graduate Student

43 Vassar Street, Office: 46-6193
Cambridge, Massachusetts 02139
Email: dlow@mit.edu
Connect: Google Scholar

Ph.D. Candidate, Speech and Hearing Bioscience and Technology, Harvard University – MIT
M.S., Cognitive Science, University of Trento, Italy, 2018
M.A., Language and Communication Technologies, University of Groningen, Netherlands, 2018
B.A., Neurolinguistics & Psycholinguistics, University of Buenos Aires, Argentina, 2015

Daniel is working on detecting mental health symptoms from speech and text data using natural language processing, speech processing, and machine learning at the Senseable Intelligence Group (McGovern Institute for Brain Research, MIT & Harvard Medical School) and at the Nock Lab (Department of Psychology, Harvard University). He is focused on speech and language patterns of suicidal thoughts and behaviors, meditation, and psychedelics. He uses data from ecological momentary assessments of hospitalized and nonhospitalized individuals, social media, and clinical trials. His work has been funded by a RallyPoint Fellowship, NIH NIDCD T32 training grant, NIH Common Fund Bridge2AI program, and an Amelia Peabody Professional Development Award.