🧑‍🔬 Emma Brunskill

🏛️ Affiliations

🎓Stanford UniversityStanford · United States2017–2026 · 111 papersEmploymentcurrent🎓Carnegie Mellon UniversityPittsburgh · United States2012–2026 · 60 papersEmployment until 2017current🏢AmazonSeattle · United States2026 · 1 papercurrent🎓University of California, BerkeleyBerkeley · United States2010–2021 · 12 papers🎓Massachusetts Institute of TechnologyCambridge · United States2005–2012 · 11 papers🔬MIT Computer Science and Artificial Intelligence LaboratoryCambridge · United States2006–2012 · 6 papers

🏛️Magdalen CollegeOxford · United KingdomEducation

🎓University of WashingtonSeattle · United StatesEmployment

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. On the Opportunities and Risks of Foundation Models (2021 · 3,160 citations)
   This Stanford CRFM report surveys a new way of building AI. Large models are pretrained on broad data, usually through self-supervision at scale, and then adapted to many downstream tasks. The authors name these "foundation models" (examples: BERT, GPT-3, CLIP, DALL-E). The report does not propose a dataset or…
2. Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles (2024 · 90 citations)
   Practice partners for novice counselors are hard to build with LLMs. Real therapy transcripts are private, so fine-tuning is mostly impossible. Simple prompting also gives patients that sound unrealistic, missing traits such as casual speech and pushback. Roleplay-doh is an interactive tool that lets experienced…
3. Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models (2024 · 12 citations)
   Language models are increasingly used to stand in for human populations, for example when designing educational materials.

All works

14 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
2. Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning ↗arXiv (Cornell University) · no summary yetPeter B. Henderson et al.2020 · 258 citations
3. Building peer-to-peer systems with chord, a distributed lookup service ↗Workshop on Hot Topics in Operating Systems · no summary yetFrank Dabek et al.2001 · 230 citations
4. Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to PrinciplesConference on Empirical Methods in Natural Language Processing (EMNLP)Ryan Louie, Ananjan Nandi, William Fang, et al.2024 · 90 citations
5. MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetScott L. Fleming et al.2024 · 82 citations
6. Can LLM-Simulated Practice and Feedback Upskill Human Counselors? A Randomized Study with 90+ Novice Counselors ↗CHI Conference on Human Factors in Computing Systems · no summary yetRyan Louie et al.2026 · 16 citations
7. Psychometric Alignment: Capturing Human Knowledge Distributions via Language ModelsarXiv:2407.15645Joy He-Yueya, Wanjing Anya Ma, Kanishk Gandhi, et al.2024 · 12 citations
8. Evaluating and Optimizing Educational Content with Large Language Model Judgments ↗arXiv:2403.02795 · no summary yetJoy He-Yueya, Noah D. Goodman, Emma Brunskill2024 · 7 citations
9. Learning Abstract Models for Strategic Exploration and Fast Reward Transfer ↗arXiv (Cornell University) · no summary yetEvan Zheran Liu et al.2020 · 4 citations
10. Learning Abstract Models for Long-Horizon Exploration ↗no summary yetEvan Zheran Liu et al.2018 · 3 citations
11. Toward Generative Experience for Stress Management Interventions ↗OSF Preprints (OSF Preprints) · no summary yetAnanya Bhattacharjee, Diyi Yang, Emma Brunskill2026
12. Generative Experiences for Digital Mental Health Interventions: Evidence from a Randomized Study ↗arXiv (Cornell University) · no summary yetAnanya Bhattacharjee et al.2026
13. Promoting agency in human-AI interaction : insights from AI health coaching ↗Stanford Digital Repository · no summary yetMatthew Jörke et al.2026
14. Real-world causal inference for healthcare and public policy ↗Stanford Digital Repository · no summary yetHamed Nilforoshan et al.2026

🤝 Co-authors here

9 co-authors with a page, the most papers together first.

• Antoine Bosselut
• Diyi Yang
• Drew A. Hudson
• Kanishk Gandhi
• Michael S. Bernstein
• Noah D. Goodman
• Rishi Bommasani
• Simran Arora
• Wanjing Anya Ma

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Stanford Digital Repository ×2
• Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2024
• CHI Conference on Human Factors in Computing Systems
• OSF Preprints (OSF Preprints)
• Proceedings of the AAAI Conference on Artificial Intelligence
• Workshop on Hot Topics in Operating Systems

🔗 Cited by

Papers of our library cite their works 1,133 times (of the 149,439 papers whose bibliographies we read); 184 citing papers with a page here →.

Updated 30 October 2026

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