About me

I am a first-year EECS PhD student at UC Berkeley, broadly interested in AI-psychology, human-AI interaction, agentic systems, and AI for education. I am happily advised by Narges Norouzi and Joey Gonzalez. I am affiliated with Sky Computing Lab and Berkeley AI Research (BAIR). I am also fortunate enough to closely work with Gireeja Ranade.

Previously, I earned my B.A. degree in CS (Honors) and Statistics from the College of Computing, Data Science, and Society (CDSS) at UC Berkeley; my undergraduate research was focused on AI for Education.

Conference Papers

Analyzing Pedagogical Quality and Efficiency of LLM Responses with TA Feedback to Live Student Questions
Mihran Miroyan*, Chancharik Mitra*, Rishi Jain, Gireeja Ranade, Narges Norouzi.
SIGCSE 2025

RetLLM-E: Retrieval-Prompt Strategy for Question-Answering on Student Discussion Forums
Chancharik Mitra*, Mihran Miroyan*, Rishi Jain*, Vedant Kumud, Gireeja Ranade, Narges Norouzi.
AAAI 2024

EIT: Earnest Insight Toolkit for Evaluating Students' Earnestness in Interactive Lecture Participation Exercises
Mihran Miroyan*, Shiny Weng*, Rahul Shah, Lisa Yan, Narges Norouzi.
SIGCSE 2024

Conference Posters

Raising the Bar: Automating Consistent and Equitable Student Support with LLMs
Meenakshi Mittal*, Azalea Bailey*, Victoria Phelps*, Mihran Miroyan, Chancharik Mitra, Rishi Jain, Rose Niousha, Gireeja Ranade, Narges Norouzi.
SIGCSE 2025

Elevating Learning Experiences: Leveraging Large Language Models as Student-Facing Assistants in Discussion Forums
Chancharik Mitra*, Mihran Miroyan*, Rishi Jain*, Vedant Kumud, Gireeja Ranade, Narges Norouzi.
SIGCSE 2024

Teaching

Data 100/200: Principles and Techniques of Data Science
Spring 2024 (Head TA), Fall 2023 (Lead TA), Summer 2023 (Head TA), Spring 2023 (TA), Fall 2022 (reader)