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Grace Guo
Hello, I'm Grace. I am a Postdoctoral Fellow at the Visual Computing Group at Harvard. My research looks at building human-centered explainability tools for AI, particularly in the biomedical and healthcare domains.
I received my PhD in Human-centered Computing from Georgia Tech, where I was advised by Professor Alex Endert. Previously, I completed my bachelor's in Human-computer Interaction and Cognitive Science from Carnegie Mellon University. I am honored to be a recipient of the 2023-2024 IBM PhD Fellowship.
Visualizing Intelligent Tutor Interactions for Responsive Pedagogy
Grace Guo*, Aishwarya Mudgal Sunil Kumar*, Adit Gupta, Adam Coscia, Chris MacLellan, Alex Endert
*co-first authors
ACM AVI, 2024
Grace Guo, John Stasko, Alex Endert
ACM AVI, 2024
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
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
