Masoud Rouhizadeh

Masoud Rouhizadeh

Founding Member
Center for Clinical NLP
NLP Lead
Institute for Clinical and Translational Research
Affiliated Member
Center for Language and Speech Processing
Johns Hopkins University
mrou AT j h u dot edu

About me:

I'm a computational linguist, interested in clinical applications of Natural Language Processing (NLP). In my research, I develop large and scalable language analysis and machine learning algorithms with applications to physical, mental, and public health. I have focused my research on three major goals in this domain: (a) identifying signs, symptoms, diseases, medications, and social and behavioral determinants of health from electronic health records, (b) identifying linguistic signs of neurological disorders affecting children and the elderly, and (c) detecting signals relevant to psychological outcomes and mental health issues from social media.

I'm currently the NLP Lead of the Institute for Clinical and Translational Research (ICTR) and co-founder of the Center for Clinical NLP (C2NLP) at Johns Hopkins School of Medicine. I'm also a Faculty at Leadership in Analytics and Data Science (LEADS), and enter of Excellence Analytics in Medicine Program (CAMP), training medical researchers and graduate students. I'm affiliated with the Center for Population Health Information Technology (CPHIT), the Center for Language and Speech Processing (CLSP), and the Precision Medicine Analytics Platform (PMAP).

I'm co-leading the enterprise-level clinical NLP research at JHU, including deep neural models for clinical concept linking, normalizing 350m medical notes into HL7 Clinical Document Architecture (CDA), deep information extraction for social and behavioral determinants of health, and predicting risk factors in opioid overdose patients. We also provide various NLP research services to JHU clinical community (ranging from pilot work and seed grants to large and fundamental projects).

Prior to joining JHU, I was a postdoc at Penn World Well-Being Project and Penn Institute for Biomedical Informatics, working on social media analysis for physical and mental health. Before that, I was a PhD researcher the Center for Spoken Language Understanding (CSLU) at Oregon Health & Science University (OHSU) - part of what used to be the Oregon Graduate Institute (OGI). I worked on computation analysis of disordered language (autism and Alzheimer's) and ontology development for text-to-scene conversion systems. I also studied formal linguistics and I'm very interested in distributional semantics.


  • Thrilled to relieve the funding approval for our Clinical Concept Extraction grant (with Harvard) from Patient-Centered Outcomes Research Institute (PCORI).
  • Area Charing ACL 2020 Cognitive Modeling and Psycholinguistics.
  • Charing ACL 2020 Diversity & Inclusion Disability subcommittee.
  • Press coverage on our Nature Digital Medicien paper JHU, Interesting Engineering.
  • Nature Digital Medicien paper on Language Impairment in Adults with Liver Disease.
  • Panelist at AMIA 2019 Public Health Informatics Working Group.
  • Presenting work on clinical concept linkin at AMIA.
  • Presenting at NYU Langone: Deep Learning and NLP Methods for Mining EMRs.
  • Organizing automatic live captioning at NAACL 2019 with Will Lewis and Jason Eisner.
  • Core member in JHU Clinical Data Science initiative.
  • Grand Rounds presentation at JHU Division of Health Science Informatics.
  • Presenting work on identifying social determinants of health at AMIA.
  • Proud to be part of NAACL 2019 Diversity & Inclusion committee.
  • Advisory Board of Computational Linguistics Master's Program, Stony Brook University.