Skyler Wang
Scholar

Skyler Wang

Google Scholar ID: 4g0yVg4AAAAJ
Assistant Professor, McGill University | Research Scientist, Meta
AITechnologyHuman-Computer InteractionEconomic SociologyGender & Sexuality
Citations & Impact
All-time
Citations
2,035
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
38
list available
Resume (English only)
Academic Achievements
  • Led or contributed to 'No Language Left Behind' and 'SeamlessM4T' machine translation projects, published in Nature
  • SeamlessM4T named one of TIME Magazine’s Top 200 Inventions of 2023
  • Publications in Nature, Big Data & Society, Information, Communication & Society, PLOS One, Sex Roles, Archives of Sexual Behavior, Sociological Perspectives
  • Presented work at top HCI and ML venues including ACL, CSCW, EMNLP, FAccT, and NAACL
  • Research featured in TIME, Reuters, NPR, CNN, WIRED, The Verge, Vox, Quartz, and GQ
  • Introduced MOMENTS—a comprehensive multimodal benchmark for Theory of Mind (2025)
  • Published paper on data auxiliaries and dating spreadsheets in Information, Communication & Society (2025)
  • Developed a multi-agent dual dialogue system to support mental health care providers (2024)
Research Experience
  • Research Scientist at Meta’s FAIR lab (part-time starting July 2025)
  • Collaborates with academic and industry partners to develop open-source machine translation models for underserved languages
  • Co-organized a panel on “Reimagining More-Than-Human Intimacies” at the 10th STS Conference in Milan (2025)
  • Co-chaired Ethics & Society Day at the AE Global Summit on Open Problems for AI in Boston (2024)
  • Awarded SSHRC Insight Development Grant (2025) to study AI integration in dating apps
Background
  • Assistant Professor of Sociology at McGill University
  • Research Scientist at Meta's Fundamental AI Research (FAIR) lab
  • AI sociologist interrogating the inner workings and societal impacts of sociotechnical and machine learning systems
  • Uses mixed-methods, experiments, and STS approaches to critically examine epistemic cultures of AI and human-machine interactions in health and relational contexts
  • Empirical work explores how digital platforms—such as network hospitality, online dating, and AI companions—shape modern intimacy and relationships
  • Advocates for a shift from human-centered to 'social-centered' AI development, with talks at venues including the United Nations