TargetRNA2: identifying targets of small regulatory RNAs in bacteria. - Mary Beth Kery; Monica Feldman; Jonathan Livny; Brian Tjaden (Nucleic Acids Res., 2014)

Examining programmer practices for locally handling exceptions. - Mary Beth Kery; Claire Le Goues; Brad A. Myers (MSR, 2016)

Making End User Development More Natural. - Brad A. Myers; Amy J. Ko; Chris Scaffidi; Stephen Oney; YoungSeok Yoon; Kerry Shih-Ping Chang; Mary Beth Kery; Toby Jia-Jun Li (New Perspectives in End-User Development, 2017)

Variolite: Supporting Exploratory Programming by Data Scientists. - Mary Beth Kery; Amber Horvath; Brad A. Myers (CHI, 2017)

Sampling techniques to improve big data exploration. - Julian Ramos Rojas 001; Mary Beth Kery; Stephanie Rosenthal; Anind K. Dey (LDAV, 2017)

Tools to support exploratory programming with data. - Mary Beth Kery (VL/HCC, 2017)

Exploring exploratory programming. - Mary Beth Kery; Brad A. Myers (VL/HCC, 2017)

Moonstone: Support for understanding and writing exception handling code. - Florian Kistner; Mary Beth Kery; Michael Puskas; Steven Moore; Brad A. Myers (VL/HCC, 2017)

The Story in the Notebook: Exploratory Data Science using a Literate Programming Tool. - Mary Beth Kery; Marissa Radensky; Mahima Arya; Bonnie E. John; Brad A. Myers (CHI, 2018)

Towards Scaffolding Complex Exploratory Data Science Programming Practices. - Mary Beth Kery (VL/HCC, 2018)

Interactions for Untangling Messy History in a Computational Notebook. - Mary Beth Kery; Brad A. Myers (VL/HCC, 2018)

API Designers in the Field: Design Practices and Challenges for Creating Usable APIs. - Lauren Murphy; Mary Beth Kery; Oluwatosin Alliyu; Andrew Macvean; Brad A. Myers (VL/HCC, 2018)

Methods for Investigating Mental Models for Learners of APIs. - Amber Horvath; Mariann Nagy; Finn Voichick; Mary Beth Kery; Brad A. Myers (CHI Extended Abstracts, 2019)

Towards Effective Foraging by Data Scientists to Find Past Analysis Choices. - Mary Beth Kery; Bonnie E. John; Patrick O'Flaherty; Amber Horvath; Brad A. Myers (CHI, 2019)

Human-Centered Study of Data Science Work Practices. - Michael J. Muller; Melanie Feinberg; Timothy George; Steven J. Jackson; Bonnie E. John; Mary Beth Kery; Samir Passi (CHI Extended Abstracts, 2019)

The Long Tail: Understanding the Discoverability of API Functionality. - Amber Horvath; Sachin Grover; Sihan Dong; Emily Zhou; Finn Voichick; Mary Beth Kery; Shwetha Shinju; Daye Nam; Mariann Nagy; Brad A. Myers (VL/HCC, 2019)

Understanding and Visualizing Data Iteration in Machine Learning. - Fred Hohman; Kanit Wongsuphasawat; Mary Beth Kery; Kayur Patel (CHI, 2020)

The Future of Notebook Programming Is Fluid. - Mary Beth Kery; Donghao Ren; Kanit Wongsuphasawat; Fred Hohman; Kayur Patel (CHI Extended Abstracts, 2020)

mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks. - Mary Beth Kery; Donghao Ren; Fred Hohman; Dominik Moritz; Kanit Wongsuphasawat; Kayur Patel (UIST, 2020)

Collaborative Machine Learning Model Building with Families Using Co-ML. - Tiffany Tseng; Jennifer King Chen; Mona Abdelrahman; Mary Beth Kery; Fred Hohman; Adriana Hilliard; R. Benjamin Shapiro (IDC, 2023)

Angler: Helping Machine Translation Practitioners Prioritize Model Improvements. - Samantha Robertson; Zijie J. Wang; Dominik Moritz; Mary Beth Kery; Fred Hohman (CHI, 2023)

Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences. - Fred Hohman; Mary Beth Kery; Donghao Ren; Dominik Moritz (CHI, 2024)

AI Policy Projector: Grounding LLM Policy Design in Iterative Mapmaking. - Michelle S. Lam; Fred Hohman; Dominik Moritz; Jeffrey P. Bigham; Kenneth Holstein; Mary Beth Kery (CoRR, 2024)

Policy Maps: Tools for Guiding the Unbounded Space of LLM Behaviors. - Michelle S. Lam; Fred Hohman; Dominik Moritz; Jeffrey P. Bigham; Kenneth Holstein; Mary Beth Kery (UIST, 2025)