Hello! I am Bhavya Chopra, a second-year CS PhD student at the EPIC Data Lab at UC Berkeley, advised by Prof. Aditya Parameswaran. I
design and build mixed-initiative data systems that combine human insight with LLM capabilities to help end-users transform and interpret data.
I recently interned at Tableau Research, where I was thrilled to be mentored by Arjun Srinivasan. Previously, I was a Research Fellow with the
PROSE Team at Microsoft, advised by Austin Z. Henley, Chris Parnin, and Anna Fariha. My work focused on identifying challenges in conversational and recommendation-based AI systems for data science and exploring agent-based frameworks to enable collaborative debugging with large language models.
Before that, I completed my bachelor's in Computer Science and Design engineering (with honors) from IIIT-Delhi in 2022. I developed interfaces for inclusive and immersive storytelling experiences for children with visual impairments, and also learnt program analysis techniques to study the use of assertions in Java open-source repositories.
Updates
- Apr 2026 Excited to be recognized as an Honorable Mention by Jane Street's 2026 Graduate Research Fellowship Program. Looking forward to presenting Attune at the workshop in NYC!
- Oct 2025 We presented DataScout and DocWrangler at UIST 2025 in Busan, South Korea. DocWrangler received a Best Paper Honorable Mention!
- Aug 2025 Passed my preliminary exam in Human-Computer Interaction!
- Sept 2024 Our paper (Let's Fix This Together: Conversational Debugging with GitHub Copilot) won best paper award at VL/HCC 2024!
- Aug 2024 Joined the EPIC Data Lab at UC Berkeley as a PhD student with Prof. Aditya Parameswaran
Selected Publications
Academic Service
Teaching Assistant at IIIT-Delhi
Program Analysis (CSE503), Introduction to Human-Computer Interaction (DES102)
Reviewing
CHI 2026, UIST 2025, CHI 2024 Late-Breaking Work, CHI 2023, CHI 2022 Late-Breaking Work
Student Volunteering
CSCW 2022, CHI PLAY 2022, CSCW 2021, IndiaHCI 2021
Selected Software Projects
TechTree: Course Repository for IIIT-Delhi
Designed, developed, and hosted TechTree for the academic department and faculty at IIIT-Delhi to maintain and share descriptions of over 350 courses with students. TechTree enables 3000+ students every semester to plan their courses through visualization of course pre-requisites via interactive tables and directed acyclic graphs.