Dr. 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 Establishing the Practice of Integrated Test and Evaluation for ML Capabilities project, in addition to other projects that are advancing the state of the practice in software engineering for machine learning (SE4ML).

Lewis 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

Lewis is currently president-elect of the IEEE Computer Society and the society representative on the IEEE Future Directions Committee for the AI Coalition. She holds a Bachelor of Science in Software Systems Engineering with a Postgraduate Specialization in Business Administration from Icesi University in Cali, Colombia; a Master of Software Engineering from Carnegie Mellon University; and a PhD in Computer Science from Vrije Universiteit Amsterdam.

Extended Biography