About me

I am a Computer Science Graduate student at Oregon State University, Information & Data Management and Analytics (IDEA) Lab. My research is guided by Professor Arash Termehchy and Professor Leilani Battle.

I conduct research in broadly in the area of Human Data Interaction. We build interactive data-centric systems that collaborate with humans to achieve common goals, e.g., training Machine learning (ML) models or exploring data, empowering end-users to better understand their data, develop insights, and communicate results. I also study challenges at other stages of the ML pipeline, such as data cleaning. For instance, by design methods to train accurate ML models over dirty data without any cleaning, minimizing human intervention in data synthesis.

  • Machine/Reinforcement Learning
  • Information Visualization
  • Data Science
  • Human-Computer-Interaction

Apart from research, my hands on technical and product delivery background is as a Data Scientist, Data/ML Engineer and Software Engineer.

I also mentor ~30 undergraduates year round for CS Capstone projects and support other graduate courses at OSU.

📰 Recent News

September 2025
Our paper has been accepted to NeurIPS,2025 workshop on Reliable ML from Unreliable Data workshop
April 2025
Another paper has been accepted to VLDB,2025 workshop on Large-Scale Neurosymbolic Learning Systems (LS-NSL) workshop
March 2025
Our paper on minimal imputation for data preparation has been accepted to DEEM @ VLDB,2025
January 2025
Our benchmark user modeling study 'Analyzing the Shifts in Users Data Focus in Exploratory Visual Analysis' has been accepted to IUI,2025
June 2024
Started my Data and Visualization Scientist internship at Inari Agriculture @ Purdue University Research Park
March 2024
Our work on integrating user into Interactive Data Exploration workflow,'User Learning In Interactive Data Exploration' has been accepted to ICDE,2024
February 2024
Our work on Machine Learning over Missing Data,'Certain and Approximately Certain Statistical Models' has been accepted to SIGMOD,2024
November 2023
Presented 'Analyzing User Learning in Interactive Data Exploration' at NWDS @ Microsoft Research