Dr. Smaranda Muresan

Assistant Professor

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Biography

Smaranda Muresan is an Associate Professor in the Department of Computer Science at Barnard College, Columbia University, and an affiliate faculty member at the Data Science Institute. Her research focuses on human-centric Natural Language Processing for social good and responsible computing. She develops theory-guided knowledge-aware computational models for understanding and generating language in various contexts, including visual, social, multilingual, and multicultural applications. Her research topics over the years include argument mining and generation, fact-checking, misinformation detection, and understanding figurative language such as sarcasm and metaphor. She is particularly interested in explainable models and frameworks for human-AI collaboration, aimed at creating high-quality datasets, assisting humans with their tasks, and ensuring that AI systems align with human values. Prior to joining Barnard College, she served as a Research Scientist at the Data Science Institute at Columbia University and co-founded the Laboratory for the Study of Applied Language Technologies at Rutgers University, where she received the Distinguished Achievements Research Award.

Research Interests

Experience

Associate Professor

2024-01-01 — Present

Barnard College at Columbia University • New York, NY

Joining as an Associate Professor in the Department of Computer Science.

Research Scientist

2020-01-01 — 2023-12-31

Data Science Institute, Columbia University • New York, NY

Conducting research and leading projects in the Data Science Institute.

Co-Founder

2018-01-01 — 2019-12-31

Laboratory for Study of Applied Language Technologies • Rutgers University

Co-founded a lab focused on advancing the field of applied language technologies.

Requirements for Columbia University

Doctorate Program
Requirements
GPA Requirement
Required:3
TOEFL
Total
Required:100
IELTS
Overall
Required:7.5
Prerequisites
Bachelor's degree or international equivalent
Application Checklist
  • Online application
  • Transcripts
  • Statement of Academic Purpose
  • Personal Statement
  • Three letters of recommendation
  • CV or Resume
  • Application fee
Specialization Notes

Department of Anthropology (GSAS)