I'm working on detecting mental health symptoms from speech and text data using machine learning at the Senseable Intelligence Group (McGovern Institute for Brain Research, MIT & Harvard Medical School). As a RallyPoint Fellow and in collaboration with the Nock Lab (Harvard University), we are studying how to predict suicidal ideation on social media from users' prior posts and interactions using methods from machine learning and causal inference.

 

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

  • 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 neuropsychology.

 

My work is funded by a NIH NIDCD training grant and a RallyPoint fellowship.

 

Email: dlow at g dot harvard dot edu

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

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