Hi I'm,
Kiran Gadhave

Pronouns: he/him/his

My research, focuses on using interaction provenance to enhance the reproducibility and reusability of interactive visual analysis. I have a strong software engineering background, with experience in developing and maintaining open-source systems and libraries. I am interested in developing better systems and libraries to enable reproducible data analysis.

I am a PhD candidate (expecting to graduate in Spring 2024) at the Kahlert School of Computing and the Scientific Computing and Imaging Institue at the University of Utah. I am advised by Dr. Alexander Lex at Visualization Design Lab.


Persist: Persistent and Reusable Interactions in Computational Notebooks
Kiran Gadhave, Zach Cutler, Alexander Lex
Preprint 2024 (submission under review)

Reusing Interactive Analysis Workflows
Kiran Gadhave, Zach Cutler, Alexander Lex
EuroVis, 2022

Predicting Intent Behind Selections in Scatterplot Visualizations
Kiran Gadhave, Jochen Görtler, Zach Cutler, Carolina Nobre, Oliver Deussen, Miriah Meyer, Jeff Phillips, Alexander Lex
Information Visualization, 2021

Trrack: A Library for Provenance-Tracking in Web-Based Visualizations
Zach Cutler, Kiran Gadhave, Alexander Lex
IEEE Vis Short Paper, 2020