I am happy to announce that our paper entitled, “ReLESS: A framework for assessing safety in Deep Learning systems,” has been nominated for a best paper award at AI Safety ’24! Congrats to Nan and Anita. It’s Nan’s first workshop paper!
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- Tool demo paper on refactoring imperative DL programs to graph execution accepted at FASE ’25
- Reviewer for Japan Society for the Promotion of Science (JSPS) 2025 BRIDGE Fellowship
- Program committee (PC) member for ICSE ’26
- 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 ’24
- 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
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