Saikat Dutta

Saikat Dutta is an Assistant Professor in the Department of Computer Science at Cornell University. He is affiliated with the Software Engineering Group and focuses on the intersection of Software Engineering and Machine Learning. His work aims to enhance the reliability of ML-based systems while applying ML techniques to solve software engineering challenges.

• PhD in Computer Science from University of Illinois Urbana-Champaign (Summer 2023)
• Postdoctoral Researcher at University of Pennsylvania
• Bachelor's in Computer Science and Engineering from Jadavpur University

Research Interests: Dr. Dutta's research spans several key areas:

• Automated test generation and debugging for ML/DL libraries
• Using AI/ML for automated software engineering tasks
• Improving performance of regression tests in ML libraries
• Static and dynamic analysis for probabilistic programming

Article Trends: His recent publications emphasize:

• Automated testing of ML systems
• Security vulnerability detection using LLMs
• Probabilistic program analysis
• Neurosymbolic learning frameworks
• Flaky test management in stochastic environments
• Stochastic regression test optimization

Scientific Awards:

• Meta AI LLM Evaluation Research Grant (2025)
• Mavis Future Faculty Fellowship (2022-23)
• Facebook PhD Fellowship (2020-22)
• 3M Foundation Fellowship (2019-2020)

Advising & Grants: Dr. Dutta actively recruits PhD students and postdocs. He leads research projects supported by grants from Meta AI and participates in program committees for top conferences like ICSE and ISSTA. His lab focuses on neurosymbolic systems and ML-based software verification.