Program committee (PC) member for SPLASH '25 Onward!I have been invited to participate as a program committee (PC) member of Onward! ’25, to be held as part of the ACM SIGPLAN conference on S […]

Program committee (PC) member for Internetware '25Excited and honored to be invited to the program committee (PC) for the research track of the 16th International Conference on Internetware […]

Tool demo paper on refactoring imperative DL programs to graph execution accepted at FASE '25 Our paper entitled, “Hybridize functions: A tool for automatically refactoring imperative Deep Learning programs to graph execution,” has […]

Reviewer for Japan Society for the Promotion of Science (JSPS) 2025 BRIDGE Fellowship I am honored to be invited as a reviewer for the Japan Society for the Promotion of Science (JSPS) 2025 BRIDGE fellowship program. JSPS is […]

Program committee (PC) member for ICSE '26Excited and honored to be invited to the program committee (PC) for the ICSE ’26 research track! The conference will take place in Rio de Janeiro, Brazil Apr 2026. Please consider submitting!

Computer Science Professor Awarded NSF Grant to Improve Machine Learning Systems | CUNY Graduate Center A story from the CUNY Graduate Center news! Professor Raffi Khatchadourian receives nearly $600K to address technical debt, which affects […]

Invited to participate on NSF panel I am very honored to be invited to serve on a 2024 National Science Foundation (NSF) panel.

Best paper award nomination at AISafety '24 I am happy to announce that our paper entitled, “ReLESS: A framework for assessing safety in Deep Learning systems,” has been nominated for a […]

Paper on reliably refactoring Deep Learning systems accepted at AISafety '24 Our paper on reliability refactoring Deep Learning systems has been accepted to the 2024 AISafety workshop at the International Joint Conference on Artificial Intelligence (IJCAI ’24). Congratulations to Nan and Anita!

Program committee (PC) member for ASE '24 Excited and honored to be invited to the program committee (PC) for the ASE ’24 research track! Please consider submitting!

Multiple fully-funded Ph.D. student positions in combating technical debt in Machine Learning (ML) systems in New York City I am currently seeking multiple fully-funded Ph.D. students interested in programming languages and software engineering research for an […]

Received three-year NSF research grant on combating technical debt in Machine Learning systems as PI I am pleased to announce that I have received a three-year standard research grant from the National Science Foundation (NSF) Software & […]

Program committee (PC) member for ICSE '25 Excited and honored to be invited to the program committee (PC) for the ICSE ’25 research track! The conference will take place in Ottawa, […]

Tatiana presenting on DL refactoring at ASE '23 Tatiana presenting at ASE ’23

Slides for ASE '23 NIER paper on imperative Deep Learning refactoring now availableSlides for our ASE ’23 NIER paper on our ongoing work towards automated refactoring of imperative Deep Learning programs to graph execution are now available. The talk will take place tomorrow at 1:54 pm CEST.

Preprint of ASE '23 DL refactoring paper now available A preprint of our ASE ’23 paper on refactoring imperative Deep Learning programs to graphs is now available.