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Grace Guo
Hello, I'm Grace. I am a fifth year PhD student in the College of Computing at Georgia Tech. I work with the GT Visualization Lab, and my advisor is Professor Alex Endert.
I am interested in work at the intersection of AI, visualization and human-computer interaction. My current research focuses on developing visual analytics tools for explainable AI and causal inference, particularly in the domains of adult education and healthcare analytics. I am honored to be a recipient of the 2023-2024 IBM PhD Fellowship.
Towards Domain-centered Counterfactual Explanations of Cardiovascular Image Classification Models
Grace Guo, Lifu Deng, Animesh Tandon, Alex Endert, Bum Chul Kwon
ACM FAccT, 2024 (Upcoming)
Visualizing Intelligent Tutor Interactions for Responsive Pedagogy
Grace Guo*, Aishwarya Mudgal Sunil Kumar*, Adit Gupta, Adam Coscia, Chris MacLellan, Alex Endert
ACM AVI, 2024 (Upcoming)
Grace Guo, John Stasko, Alex Endert
ACM AVI, 2024 (Upcoming)
Grace Guo, Dustin Arendt, Alex Endert
ACM CHI Workshop on Human-Notebook Interactions, 2024 (Upcoming)
paper | code
Situating Datasets: Making Public Eviction Data Actionable for Housing Justice
Anh-Ton Tran, Grace Guo, Jordan Taylor, Katsuki Andrew Chan, Elora Lee Raymond, Carl DiSalvo
ACM CHI, 2024 (Upcoming)
Causalvis: Visualizations for Causal Inference
Grace Guo, Ehud Karavani, Alex Endert, Bum Chul Kwon
ACM CHI, 2023
video | paper | code
VAINE: Visualization and AI for Natural Experiments
Grace Guo, Maria Glenski, ZhuanYi Shaw, Emily Saldanha, Alex Endert, Svitlana Volkova, Dustin Arendt
IEEE Information Visualization Short Papers, 2021
video | paper | demo
A Survey of Human-Centered Evaluations in Human-Centered Machine Learning
Fabian Sperrle, Mennatallah El-Assady, Grace Guo, Rita Borgo, Duen Horng Chau, Alex Endert, Daniel Keim
Computer Graphics Forum, 2021
video | paper | survey homepage | survey browser
Florence: a Web-based Grammar of Graphics for Making Maps and Learning Cartography
Ate Poorthuis, Lucas van der Zee, Grace Guo, Jo Hsi Keong, Bianchi Dy
Cartographic Perspectives, Issue 96, 2020
CS4460: Introduction to Information Visualization | Georgia Tech
Spring 2023 | TA
CS7455: Issues in Human-Centered Computing | Georgia Tech
Spring 2022 | TA
CS4873: Computing, Society and Professionalism | Georgia Tech
Summer 2021 | TA
CS7450: Information Visualization | Georgia Tech
Fall 2020 | Head TA
15-112: Fundamentals of Programming and CS | CMU
Fall 2015, Spring 2016 | TA
A collection of my open source libraries and repos. I am always looking for contributors to document, maintain and implement new features for these libraries. Please reach out if you might be interested in doing so.
Auteur is a front-end JavaScript toolkit designed to help with adding augmentations to web-based D3 visualizations and visualization systems to convey statistical and custom data relationships. To get started using Auteur, check out our documentation and examples.
Causalvis is a python library of interactive visualizations for causal inference, designed to work with the JupyterLab computational environment. Read our paper here.
© Grace Guo, 2024