Grace Lewis is a Principal Researcher at the Carnegie Mellon Software Engineering Institute (SEI), where she conducts applied research on how software engineering and software architecture principles, practices, and tools need to evolve in the face of emerging technologies. She is the principal investigator for the Automating Mismatch Detection and Testing in Machine Learning Systems project that is developing toolsets to support these two activities, in addition to other projects that are advancing the state of the practice in software engineering for machine learning (SE4ML).

She is also the lead for the Tactical and AI-Enabled Systems (TAS) applied research and development team at the SEI that is creating and transitioning innovative solutions, principles, and best practices for

• architecting and developing systems to support teams operating at the tactical edge in resource-constrained environments
• engineering AI software systems
• using AI/ML at the edge for improved capabilities and mission support

Grace is currently First Vice President of the IEEE Computer Society, Diversity and Inclusion (D&I) Chair of the IEEE Computer Society, IEEE Computer Society Representative to the AI Coalition Future Directions Committee, and an ABET Evaluator for Computer Science undergraduate programs. She holds a B.Sc. in Software Systems Engineering and a Post-Graduate Specialization in Business Administration from Icesi University in Cali, Colombia; a Master in Software Engineering from Carnegie Mellon University; and a Ph.D. in Computer Science from Vrije Universiteit Amsterdam.

Extended Biography