Cora Coleman
Computer Science PhD candidate at UCSD advised by Bill Griswold. My research interests include Software Engineering and Human-Computer Interaction. Member of the Design Lab and Programming Systems Group at UCSD. I passed the PhD Qualifying Exam and advanced to candidacy in 2022. I passed the PhD Research Exam and obtained an MS in Computer Science from UCSD in 2020. I graduated with a BA in Computer Science from New College of Florida in 2018.
Awards
IBM PhD Fellowship Awarded in 2022 for research in the Hybrid Cloud Infrastructure domain with Nick Mitchell as my mentor.
Research Projects
Executing Machine Learning Jobs and Evaluating Progress
Contextually interviewing developers with Kubernetes experience to deeply understand their everyday challenges in executing and evaluating machine learning jobs. Conducting a survey to gather a breadth of the current practices from developers across the stack and understand the tasks performed and tools used everyday. With Bill Griswold, Nick Mitchell, Paul Castro, and Sara Kokkila Schumacher.
Kubernetes Tools and Development Tasks
Conducted an initial survey and observational user study of Kubernetes developers to understand tool preferences as they vary across tasks. With Bill Griswold, Nick Mitchell, and Paul Castro. Invariants Plugin
IntelliJ plugin that displays invariant properties and their changes at the method level. Developing a user study to evaluate the usefulness of invariants in programming. With Bill Griswold and Massimiliano Menarini.
Publications
Synthesis of web layouts from examples, ESEC/FSE 2021 Dylan Lukes, John Sarracino, Cora Coleman, Hila Peleg, Sorin Lerner, Nadia Polikarpova
Open set intrusion recognition for fine-grained attack categorization, HST 2017 Steve Cruz, Cora Coleman, Ethan Rudd, Terrance Boult
Contact
Email, ccoleman at ucsd dot edu