I am broadly interested in Data Management, Knowledge Representation & Reasoning, and Data Visualization aiming to
address data challenges through a Declarative Approach.
My current research explores both the practical and theoretical aspects of improving the modeling, querying, and
reasoning of Graphs, which includes:
Sept, 2024    We got two papers on Logica accepted by ICLP
workshops Datalog2.0 & PEG
July, 2024    Attended SciPy'24 and presented two posters on JupyterLab NodeEditor
(JLNE) and Arviz Dashboard
June, 2024    Our demo paper "Layered Visualization of
Argumentation Frameworks" accepted for COMMA
2024
Feb, 2024    Our demo paper "Logica: Declarative Data Science
for
Mere Mortals" accepted for EDBT 2024
Jan, 2024    Our paper "MAIDR: Making Statistical
Visualizations
Accessible with Multimodal Data Representation" has been accepted for CHI
2024
Dec, 2023    Our manuscript "Reconciling Conflicting Data
Curation
Actions: Transparency Through Argumentation" has been accepted for IDCC 2024
Nov, 2023    Received $10,000
funding from NumFOCUS to
work on project "Dashboard-assisted exploratory analysis of Bayesian models"
Nov, 2023    Our work "Games, Queries, and Argumentation
Frameworks: Time for a Family Reunion!" has been accepted to AI^3 at AIxIA
Oct, 2023    Awarded $1,000
Conference Travel Grant from United States Research Software Engineer Association(US-RSE)
July, 2023    One workshop paper was accepted by XLoKR at KR2023
July 10-14, 2023    Thrilled to be part of Princeton University
INTERSECT Program, supported
by
an NSF travel grant
May, 2023    Got Outstanding Review
for IEEE VIS 2023
March, 2023    Our first (VISxProv)*Domain workshop proposal accepted by IEEE VIS 2023. Check out the
workshop website
Feb 22nd, 2023    I led a seminar
reading discussion on Knowledge Graphs in Action: a Tour of Extensions and Real-World Applications
of the Vadalog System at UIUC iSchool
Jan, 2023    Our paper CrowdIDEA: Blending Crowd Intelligence
and Data Analytics to Empower Causal Reasoning" has been accepted to CHI 2023
Featured Projects
Logica
Query Language
Logica is a logic programming language that compiles to SQL. It runs on Google BigQuery, PostgreSQL
and
SQLite.
A visual interface designed to explain Stable Models and Well-Founded Semantics in the context of
graph-based queries on Abstract Argumentation Framework
CrowdIDEA integrates crowd beliefs, data analytics, and causal diagrams into a tool for stimulating
causal reasoning. Its design encourages exploration of causal relationships using collective
insights
Designed for Bayesian statisticians, this project transforms static visualizations into interactive
dashboards with tools like Panel and Bokeh. It enables dynamic model comparison within a unified
interface.
A graphical user interface using a dataflow-driven visual programming language to enhance data
science tasks. It provides domain experts with intuitive tools for complex data workflow.
MAIDR offers non-visual access to statistical visualizations for users with visual impairments. It
supports interaction through braille, text, sonification, and review (BTS + R).