Amber Stubbs

Amber Stubbs is an Associate Professor, Chair of the Department of Computer, Data, and Mathematical Sciences, and Undergraduate Computer Science & Informatics Program Director at Simmons University. She holds a PhD in Computer Science from Brandeis University (2013), focusing on natural language processing and corpus annotation methodologies. Her research emphasizes annotation practices for high-level information extraction, particularly in medical narratives. She co-authored the influential textbook *Natural Language Annotation for Machine Learning* (O'Reilly, 2012) and developed the MAE/MAI annotation tools used globally.

Stubbs' academic career includes postdoctoral work at SUNY Albany (2012–2014) and adjunct roles at MIT and Brandeis. She teaches courses in data science, programming languages, and interdisciplinary computing. Her grants include NSF-funded research on syntactic corpus development and security in brain-computer interfaces. She has advised numerous student projects, including database creation for historical incarceration records and cybersecurity analysis of medical APIs.

• Education: PhD Computer Science (Brandeis, 2013), BS Computer Science & English (Simmons, 2005)
• Research Focus: NLP in healthcare, annotation methodologies, longitudinal clinical data analysis
• Awards: Cultural Competence in Computing Fellow (2022–2024)