I'm working on detecting mental health symptoms from speech and text data using explainable machine learning and causal inference at the Senseable Intelligence Group (McGovern Institute for Brain Research, MIT & Harvard Medical School) and at the Nock Lab (Department of Psychology, Harvard University). I focus on speech and language patterns of suicidal thoughts and behaviors, meditation, and psychedelics. We use data from ecological momentary assessments of hospitalized and nonhospitalized individuals, social media, and clinical trials. My 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.

 

Education:

  • 2018 - MA  in Language and Communication Technologies, University of Groningen, Netherlands

  • 2018 - MSc in Cognitive Science, University of Trento, Italy

  • 2015 - BA in Neurolinguistics & Psycholinguistics, University of Buenos Aires, Argentina

Summer schools:

  • Neurohackademy, University of Washington, USA

  • Center for Brains, Minds, and Machines (CBMM), MIT-Harvard University, USA

 

Awards

  • Amelia Peabody Professional Development Award

  • RallyPoint Fellowship

  • Erasmus Mundus Joint Masters Full Scholarship (EACEA, European Commision, EU)

  • University of Buenos Aires Science and Technology (UBACyT) Research Scholarship

 

Research experience in natural language processing, speech signal processing, cognitive neuroscience (intracranial EEG, fMRI), and clinical psychology.

 

Email: dlow at g dot harvard dot edu

Office: MIT McGovern Insitute, 46-4033, 43 Vassar St, Cambridge, MA 02139

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