I'm a research scientist working on intelligent and expressive tools for human-data interaction. I develop systems that guide visual analysis through proactive recommendations and multimodal interfaces that allow people to interactively query and explore data.
I'm currently a Lead Research Scientist at 
Salesforce, where I work on AI-assisted features in 
Tableau.
Previously, I was a part of the visualization team at 
Databricks AI/BI, where I worked on interactive data querying and conversational interfaces for chart authoring.
I have also built multimodal data visualization and photo editing tools during internships at 
Microsoft Research and 
Adobe Research.
I received my PhD from 
Georgia Tech where I worked with John Stasko.
My dissertation focused on multimodal human-data interaction interfaces and received the IEEE VGTC Visualization Best Dissertation Award.
Here's my CV for more details.
NL4DV
A Python package for generating data visualizations via natural language queries.
Voder
An interface that helps leverage system-generated data facts for visual analysis and communication.
Pluto: Authoring Semantically Aligned Text and Charts for Data-Driven Communication
Arjun Srinivasan, Vidya Setlur, Arvind Satyanarayan
ACM Conference on Intelligent User Interfaces (IUI), 2025
Azimuth: Designing Accessible Dashboards for Screen Reader Users
Arjun Srinivasan, Tim Harshbarger, Darrell Hilliker, Jennifer Mankoff
ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), 2023
Best Paper, Honorable Mention
MEDLEY: Intent-based Recommendations to Support Dashboard Composition
Aditeya Pandey, Arjun Srinivasan, Vidya Setlur
IEEE Transactions on Visualization and Computer Graphics (presented at IEEE VIS 2022)
Best Paper, Honorable Mention
Interweaving Multimodal Interaction with Flexible Unit Visualizations for Data Exploration
Arjun Srinivasan, Bongshin Lee, John Stasko
IEEE Transactions on Visualization and Computer Graphics (presented at IEEE VIS 2020)