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Grace Lewis is principal researcher and lead of the Tactical and AI-enabled Systems (TAS) initiative at the Software Engineering Institute at Carnegie Mellon University. Grace is the principal investigator for the “Characterizing and Detecting Mismatch in ML-Enabled Systems” and “Predicting Inference Degradation in Production ML Systems” research projects. Her current areas of expertise and interest include software engineering for AI/ML systems, software architecture (in particular the development of software architecture practices for systems that integrate emerging technologies), edge computing, and software engineering in society. She has a B.Sc. in Software Systems Engineering and a Specialization in Administration from Icesi University in Colombia; a Master in Software Engineering from Carnegie Mellon University; and a Ph.D. in Computer Science from Vrije Universiteit Amsterdam. Grace serves as VP for Technical Activities and Conferences (T&C) and member of the Board of Governors for the IEEE Computer Society, Diversity and Inclusion (D&I) chair for the IEEE CS Technical Council on Software Engineering (TCSE), Alternate Representative for IEEE-CS on the ABET CSAB Board of Directors, and an ABET evaluator for Computer Science undergraduate programs.
|ASE 2022|| Data Leakage in Notebooks: Static Detection and Better Processes|
Committee Member in Program Committee within the Research Papers-track
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