Celeste Barnaby

I am a fourth-year PhD student in computer science at the University of Texas at Austin. I work in the UToPiA group lead by Isil Dillig. I am also an NSF GRFP Fellow. My research involves combining ideas from machine learning and program synthesis. Previously, I worked on the Big Code team at Facebook, where I used machine learning techniques to build tools for software engineers. In summer 2024 I did an internship with the PROSE team at Microsoft, where I worked on multi-agent LLM systems. I received a B.A. in math and computer science from Wesleyan University.

Email: celestebarnaby [at] gmail.com

Publications

• PhotoScout: Synthesis-Powered Multi-Modal Image Search. Celeste Barnaby, Jocelyn Chen, Chenglong Wang, Isil Dillig. CHI 2024.
• ImageEye: Batch Image Processing Using Program Synthesis. Celeste Barnaby, Jocelyn Chen, Roopsha Samanta, Isil Dillig. PLDI 2023.
• Type-Directed Synthesis of Visualizations from Natural Language Queries. Jocelyn Chen, Shankara Pailoor, Celeste Barnaby, Abby Criswell, Chenglong Wang, Greg Durrett, Isil Dillig. OOPSLA 2022.
• PLIERS: A Process that Integrates User-Centered Methods into Programming Language Design. Michael Coblenz, Gauri Kambhatla, Paulette Koronkevich, Jenna L. Wise, Celeste Barnaby, Joshua Sunshine, Jonathan Alrich, Brad A. Meyers. CHI 2021.
• Exempla Gratis (E.G.): Code Examples for Free. Celeste Barnaby, Koushik Sen, Tianyi Zhang, Elena Glassman, Satish Chandra. FSE Industry Track 2020.
• Aroma: Code Recommendation via Structural Code Search. Sifei Luan, Di Yang, Celeste Barnaby, Koushik Sen, Satish Chandra. OOPSLA 2019.

Last update: September 2024