Scholar
Fernanda Viégas
Google Scholar ID: GvXDNsYAAAAJ
Google, Harvard
Data Visualization
Human/AI Interaction
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Citations & Impact
All-time
Citations
41,973
H-index
46
i10-index
78
Publications
20
Co-authors
4
list available
Contact
No contact links provided.
Publications
4 items
Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Range Dependency Pitfalls
2025
Cited
0
Chronotome: Real-Time Topic Modeling for Streaming Embedding Spaces
2025
Cited
0
Story Ribbons: Reimagining Storyline Visualizations with Large Language Models
2025
Cited
0
What Does it Mean for a Neural Network to Learn a "World Model"?
2025
Cited
0
Resume (English only)
Academic Achievements
Developed the What-If Tool: a code-free interface for probing machine learning models
Created GAN Lab: an interactive browser-based GAN exploration tool (with Minsuk Kahng and Polo Chau)
Built Embedding Projector: an open-source tool for visualizing high-dimensional data
Developed Facets: open-source visualizations for ML datasets
Contributed to visualization components of TensorFlow.js, TensorFlow Playground, and TensorFlow Graph Visualizer
Led research on Fairness in Machine Learning
Created History Flow and Chromogram for visualizing Wikipedia editing dynamics
Developed Autovis and Data Verbalization, integrated into Google Sheets for automated charting and insights
Led projects including Google Analytics Goal Flow, Unfiltered News, Digital Attack Map, and YouTube Trends Map
Pioneered early visualization systems such as Many Eyes, Word Tree, Phrase Net, and Time Flow
Art and design projects like Wind Map, Flickr Flow, Web Seer, Bloom, and Art of Reproduction have been widely exhibited
Background
Professor at Harvard
Data visualizer
Computational designer
Speaker
Co-leads Google’s PAIR (People + AI Research) initiative
Leads the Big Picture team within Google Brain
Co-authors
4 total
Martin Wattenberg
Harvard University / Google Research
Co-author 2
Co-author 3
Jeff Dean
Google Chief Scientist, Google Research and Google DeepMind
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