Emma Strubell

Emma Strubell is an Assistant Professor at Carnegie Mellon University's Language Technologies Institute, specializing in Natural Language Processing and Machine Learning. Her research bridges state-of-the-art NLP methods with practical applications for diverse user groups, focusing on ethical and sustainable AI.

• Ph.D. in Computer Science from UMass Amherst
• B.S. in Computer Science with a math minor from the University of Maine

Research Interests: Emma's work spans multiple domains including:

• Ethical considerations in large language models (LLMs)
• Energy efficiency metrics for AI systems
• Development of open-source language model pretraining corpora
• Climate policy analysis through NLP techniques

Recent Article Trends: Her 2024 publications emphasize ethical AI (bias characterization in LLMs), sustainable computing (AI Energy Star initiative), and large-scale NLP infrastructure (OLMo/Dolma). Collaborative work with students applies LLMs to municipal climate action planning.

Scientific Recognition:

• Awarded Best Theme Paper and Best Resource Paper at ACL 2024
• Named one of Business Insider's most powerful people in AI

Emma leads the SLAB research group and has previously worked at Amazon, IBM, Meta, and Google. She advocates for pronouns they/them and maintains active projects in both academic and open-source domains.