Our paper on an empirical study of streaming APIs has been accepted to the International Conference on Fundamental Approaches to Software Engineering (FASE 2020)!
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- Computer Science Professor Awarded NSF Grant to Improve Machine Learning Systems | CUNY Graduate Center
- Invited to participate on NSF panel
- Best paper award nomination at AISafety
- Paper on reliably refactoring Deep Learning systems accepted at AISafety ’24
- Program committee (PC) member for ASE ’24
- Multiple fully-funded Ph.D. student positions in combating technical debt in Machine Learning (ML) systems in New York City
- Received three-year NSF research grant on combating technical debt in Machine Learning systems as PI
- Program committee (PC) member for ICSE ’25
- Tatiana presenting on DL refactoring at ASE ’23
- Slides for ASE ’23 NIER paper on imperative Deep Learning refactoring now available
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Paper accepted at FASE 2020
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