معرفی
Soroush Vosoughi is an Associate Professor of Computer Science at Dartmouth College, holding affiliations with the Institute for Security, Technology and Society (ISTS), the Quantitative Social Science (QSS) program, Quantitative Biomedical Sciences (QBS), and the Arthur L. Irving Institute for Energy & Society. He serves as Technical Associate Director at the Dartmouth Center for Precision Health and Artificial Intelligence (CPHAI). His work centers on natural language processing (NLP), machine learning (ML), and computational social science, with a focus on large language models (LLMs), bias mitigation, and ethical AI.
Education: B.Sc., M.Sc., and Ph.D. from MIT (2008–2015), followed by postdoctoral research at MIT and a fellowship at Harvard's Berkman Klein Center. His research is funded by NSF, NIH, Google, Amazon, and others.
Research Interests: Developing computational models of cognition via language, interpretability of LLMs, reinforcement learning for social alignment, visual-language models, and applications in health/bioinformatics. Projects include the 'Electome' project analyzing election discourse and tools for combating misinformation.
- Scientific Awards: Google Research Scholar Award (2022), Amazon Research Award (2019), Outstanding Paper Award at AAAI 2021
- Grants: NSF, NIH, industry partnerships
- Labs/Teams: Leads the Minds, Machines, and Society group at Dartmouth, collaborating with interdisciplinary teams in health, bioinformatics, and cybersecurity
