Bhavya Chopra

Bhavya Chopra

PhD Student in Computer Science at UC Berkeley

Research Interests

My research lies at the intersection of Human-Computer Interaction and Data Management, focusing on how end-users can interactively steer AI-powered data processing systems. I design shared representations, novel interaction techniques, and algorithms that let domain experts shape LLM behavior through structured feedback rather than prompting alone. Some of my representative works include Attune, DocWrangler, and DataScout.

Education

2024–present
Ph.D. in Computer Science, University of California, Berkeley Berkeley, CA, USA
Advised by Prof. Aditya Parameswaran
GPA: 4.00/4.00
2018–2022
B.Tech. (with Honors) in Computer Science and Design, IIIT-Delhi New Delhi, India
GPA: 9.14/10.00

Research Experience

Jan 2025–present
University of California, Berkeley Berkeley, CA, USA
Graduate Student Researcher, EPIC Data Lab, advised by Prof. Aditya Parameswaran
May–Aug 2025
Tableau Research Seattle, WA, USA
Research Intern, mentored by Dr. Arjun Srinivasan
  • Developed Forge, a tool for AI-powered tabular data derivation.
  • Conducted qualitative research on the role of annotations and direct manipulation in data derivation.
Jul 2022–Jul 2024
Microsoft Bengaluru, India
Research Fellow, PROSE Team. Advised by Dr. Austin Z. Henley and Dr. Gustavo Soares; mentored by Dr. Chris Parnin and Dr. Anna Fariha.
  • Conducted research with developers and designed conversational debugging for GitHub Copilot Chat.
  • Designed an improved user experience for Flash Fill, shipped with Data Wrangler.
  • Developed synthetic dataset generation pipelines for Responsible AI evaluation of Excel Copilot.

Publications

* denotes equal contribution.

Conference

2027
16. Semantic Data Processing with Holistic Data Understanding
Youran Sun*, Sepanta Zeighami*, Bhavya Chopra, Shreya Shankar, Aditya G. Parameswaran. Proceedings of the VLDB Endowment (PVLDB), International Conference on Very Large Data Bases (VLDB), 2027. To appear.
PDF
2026
15. Who’s Keeping Score? Interactive Steering of LLM-Powered Scoring with Attune
Bhavya Chopra, Meng Chen, Rebecca Dang, Chanbin Park, Shreya Shankar, Sepanta Zeighami, Björn Hartmann, Aditya G. Parameswaran. ACM Symposium on User Interface Software and Technology (UIST), 2026. To appear.
PDF Project Poster
2026
14. Unstructured Data Processing: Asking New Questions of Avalanche Accident Reports and Other Natural Language Documents
Bhavya Chopra, Björn Hartmann, Aditya G. Parameswaran, Shreya Shankar. Proceedings of the International Snow Science Workshop (ISSW), 2026.
PDF
2025
13. Why Do Multi-Agent LLM Systems Fail?
Mert Cemri*, Melissa Z. Pan*, Shuyi Yang*, Lakshya A Agrawal, Bhavya Chopra, Rishabh Tiwari, Kurt Keutzer, Aditya G. Parameswaran, Dan Klein, Kannan Ramchandran, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica. Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track, 2025.
PDF
Spotlight Paper
2025
12. Steering Semantic Data Processing with DocWrangler
Shreya Shankar*, Bhavya Chopra*, Mawil Hasan, Stephen Lee, Björn Hartmann, Joseph M. Hellerstein, Aditya G. Parameswaran, Eugene Wu. ACM Symposium on User Interface Software and Technology (UIST), 2025.
PDF Project Blog
Best Paper Honorable Mention
2025
11. Rethinking Dataset Discovery with DataScout
Rachel Lin*, Bhavya Chopra*, Wenjing Lin, Shreya Shankar, Madelon Hulsebos, Aditya G. Parameswaran. ACM Symposium on User Interface Software and Technology (UIST), 2025.
PDF
2024
10. Let’s Fix this Together: Conversational Debugging with GitHub Copilot
Yasharth Bajpai, Bhavya Chopra, Param Biyani, Cagri Aslan, Dustin Coleman, Sumit Gulwani, Chris Parnin, Arjun Radhakrishna, Gustavo Soares. IEEE Symposium on Visual Languages and Human-Centered Computing (VL/HCC), 2024.
PDF Microsoft Research blog
Best Paper Award
2023
9. Detangler: Helping Data Scientists Explore, Understand, and Debug Data Wrangling Pipelines
Nischal Shrestha, Bhavya Chopra, Austin Z. Henley, Chris Parnin. IEEE Symposium on Visual Languages and Human-Centered Computing (VL/HCC), 2023.
PDF
Best Paper Award
2022
8. StoryBox: Independent Multi-modal Interactive Storytelling for Children with Visual Impairment
Bhavya Chopra, Richa Singh. Late-Breaking Work, ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 2022.
PDF Poster
2021
7. Reality Tales: Facilitating User-Character Interaction with Immersive Storytelling
Bhavya Chopra*, Khushali Verma*, Sonali Singhal*, Utsav Singla*. ACM Student Research Competition, ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), 2021.
PDF Poster
Second Place, Undergraduate Category

Workshop

2025
6. Why Do Multi-Agent LLM Systems Fail?
Mert Cemri*, Melissa Z. Pan*, Lakshya A Agrawal*, Shuyi Yang, Bhavya Chopra, Rishabh Tiwari, Kurt Keutzer, Aditya G. Parameswaran, Dan Klein, Kannan Ramchandran, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica. Building Trust in Language Models and Applications Workshop, International Conference on Learning Representations (ICLR), 2025.
PDF
2025
5. Challenges in using Conversational AI for Data Science
Bhavya Chopra, Ananya Singha, Anna Fariha, Sumit Gulwani, Chris Parnin, Ashish Tiwari, Austin Z. Henley. Workshop on Human-In-the-Loop Data Analytics (HILDA), ACM International Conference on Management of Data (SIGMOD), 2025.
PDF Blog
Best of HILDA
2024
4. Exploring Interaction Patterns for Debugging: Enhancing Conversational Capabilities of AI-assistants
Bhavya Chopra*, Yasharth Bajpai*, Param Biyani, Gustavo Soares, Arjun Radhakrishna, Chris Parnin, Sumit Gulwani. 3rd Workshop on Bridging Human-Computer Interaction and Natural Language Processing, Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024.
PDF
2024
3. Semantically Aligned Question and Code Generation for Automated Insight Generation
Ananya Singha, Bhavya Chopra, Anirudh Khatry, Sumit Gulwani, Austin Z. Henley, Vu Le, Chris Parnin, Mukul Singh, Gust Verbruggen. LLM4Code Workshop, IEEE/ACM International Conference on Software Engineering (ICSE), 2024.
PDF Microsoft Research blog
Best Paper Award

Demo

2023
2. CoWrangler: Recommender System for Data Wrangling Scripts
Bhavya Chopra, Anna Fariha, Sumit Gulwani, Austin Z. Henley, Daniel Perelman, Mohammad Raza, Sherry Shi, Danny Simmons, Ashish Tiwari. Demo Track, ACM International Conference on Management of Data (SIGMOD), 2023.
PDF Poster

Thesis

2022
1. Study of Assertions: Understanding Assertion Use in Java Projects on GitHub
Bhavya Chopra. Bachelor’s thesis, IIIT-Delhi, 2022.
PDF Poster

Awards and Honors

2026
Workday AI Research PhD Fellowship
2026
UC Berkeley Nominee, Apple AI/ML PhD FellowshipOne of three UC Berkeley nominees; research focus: Human-Centric AI
2026
Honorable Mention, Jane Street Graduate Research Fellowship
2025
Best Paper Honorable Mention, UIST 2025For “Steering Semantic Data Processing with DocWrangler”.
2025
Best of HILDA, SIGMOD 2025For “Challenges in using Conversational AI for Data Science”.
2024
Best Paper Award, VL/HCC 2024For “Let’s Fix this Together: Conversational Debugging with GitHub Copilot”.
2024
Best Paper Award, LLM4Code Workshop at ICSE 2024For “Semantically Aligned Question and Code Generation for Automated Insight Generation”.
2023
Best Paper Award, VL/HCC 2023For “Detangler: Helping Data Scientists Explore, Understand, and Debug Data Wrangling Pipelines”.
2021
Second Place, ACM Student Research Competition at CHI 2021Undergraduate category, for “Reality Tales: Facilitating User-Character Interaction with Immersive Storytelling”.
2021, 2022
Dean’s List Award for Excellence in Research, IIIT-DelhiFor research on inclusive storytelling for children.
2021
Dean’s List Award for Excellence in Academics, IIIT-Delhi
2017
Ishwar Chandra Memorial AwardAwarded by DPS R.K. Puram and the High Commissioner of New Zealand for academic performance.

Teaching

Fall 2026
Data Engineering (DATA 101 / CS 187) UC Berkeley
Head Content GSI for the upper-division course taught by Prof. Aditya Parameswaran.
Spring 2022
Introduction to Human-Computer Interaction (DES102) IIIT-Delhi
Undergraduate TA for the first-year course taught by Prof. Rajiv Ratn Shah.
Fall 2021
Program Analysis (CSE503) IIIT-Delhi
Undergraduate TA for the graduate-level course taught by Prof. Rahul Purandare.

Academic Service

Reviewing
UIST (2025, 2026), CHI (2023, 2026, 2027), CHI Late-Breaking Work (2022, 2024)
Special Recognition for Outstanding Review, CHI 2026
Volunteering
Student Volunteer at CSCW (2021, 2022), CHI PLAY 2022, IndiaHCI 2021

Last updated in October 2026.