Publications

Apple Intelligence Foundation Language Models

Exploring Empty Spaces: Human-in-the-Loop Data Augmentation

InterLink: Linking Text with Code and Output in Computational Notebooks

Mosaic: An Architecture for Linking Databases and Scalable Interactive Visualizations

Mosaic Selections: Managing and Optimizing User Selections for Scalable Data Visualization Systems

Apple Intelligence Foundation Language Models

Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments

Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences

Counterpoint: Orchestrating Large-Scale Custom Animated Visualizations

Optimizing Dataflow Systems for Scalable Interactive Visualization

Exploring The Affordances of Game-Aware Streaming to Support Blind and Low Vision Viewers: A Design Probe Study

Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference

Opening the Black Box of 3D Reconstruction Error Analysis with VECTOR

Angler: Helping Machine Translation Practitioners Prioritize Model Improvements

Dead or Alive: Continuous Data Profiling for Interactive Data Science

DashQL – Complete Analysis Workflows with SQL

Data Navigator: An accessibility-centered data navigation toolkit

Designing Data: Proactive Data Collection and Iteration for Machine Learning Using Reflexive Planning, Monitoring, and Density Estimation

Combining Degree of Interest Functions and Progressive Visualization

Draco 2: An Extensible Platform to Model Visualization Design

Average Estimates in Line Graphs are Biased Toward Areas of Higher Variability

Mosaic: An Architecture for Scalable & Interoperable Data Views

Too Many Cooks: Exploring How Graphical Perception Studies Influence Visualization Recommendations in Draco

VegaProf: Profiling Vega Visualizations

How accessible is my visualization? Evaluating visualization accessibility with Chartability

ComputableViz: Mathematical Operators as a Formalism for Visualisation Processing and Analysis

Studying Early Decision Making with Progressive Bar Charts

DuckDB-Wasm: Fast Analytical Processing for the Web

Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels

Network Report: A Structured Description for Network Datasets

Demonstration of VegaPlus: Optimizing Declarative Visualization Languages

Leveraging Analysis History for Improved In Situ Visualization Recommendation

Symphony: Composing Interactive Interfaces for Machine Learning

VegaFusion: Automatic Server-Side Scaling for Interactive Vega Visualizations

AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization

Interdependent Variables: Remotely Designing Tactile Graphics for an Accessible Workflow

KD-Box: Line-segment-based KD-tree for Interactive Exploration of Large-scale Time-Series Data

Design Patterns and Trade-Offs in Responsive Visualization for Communication

PIXLISE-C: Exploring The Data Analysis Needs of NASA Scientists for Mineral Identification

An Automated Approach to Reasoning About Task-Oriented Insights in Responsive Visualization

Database Benchmarking for Supporting Real-Time Interactive Querying of Large Data

Dziban: Balancing Agency & Automation in Visualization Design via Anchored Recommendations

Fast and Flexible Overlap Detection for Chart Labeling with Occupancy Bitmap

mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks

Exploring neighborhoods in large metagenome assembly graphs reveals hidden sequence diversity

Falcon: Balancing Interactive Latency and Resolution Sensitivity for Scalable Linked Visualizations

Advances in Visualization of Big Data

Chapter of the book “Managing Heterogeneous Data and Polystore Databases” edited by Vijay Gadepally, Sam Madden, Michael Stonebraker and to be published by MIT Press.

Interactive Systems for Scalable Visualization and Analysis

Dominik’s PhD thesis.

Altair: Interactive Statistical Visualizations for Python