Hello! I'm an undergraduate student studying computer science at Stanford University, with a concentration in AI and Systems. Currently, I work as a researcher with Michael Bernstein and Ada Aka. My research work is in NLP & HCI and currently focuses on a) designing social‑media platforms to better empower end‑user autonomy; and b) building computational models of human behavior from massive, open‑ended data sources. My goal is to create tools that transform our ability to reason deeply about people's actions, motivations, and decision‑making processes.
Work Experience
Two Sigma Investments
Software Engineer Intern
June 2025 - August 2025
Stanford Human Computer Interaction Group
Research Assistant
June 2024 - Present
Stanford Graduate School of Business
Research Assistant
November 2023 - Present
Computational Media Lab @ University of Texas at Austin
Research Assistant
August 2021 - August 2023
Research Projects
Recent work is shown below. * denotes equal contribution.
Finetuning LLMs for Human Behavior Prediction in Social Science Experiments
Akaash Kolluri*, Shengguang Wu*, Joon Sung Park, Michael S. Bernstein
Alexandria: A Library of Pluralistic Values for Realtime Re-Ranking of Social Media Feeds
Akaash Kolluri*, Renn Su*, Farnaz Jahanbakhsh, Dora Zhao, Tiziano Piccardi, Michael S. Bernstein
Quantifying The Spread Of Racist Content On Fringe Social Media: A Case Study Of Parler
Akaash Kolluri*, Dhiraj Murthy*, Kami Vinton
Software Projects
Below are a few software projects I've worked on. I've spent a lot of time building various projects for hackathons/fun and a more complete list of my work can be found here.
DebateV: An Evidence Database for Debaters
Made with two friends from debate camp, DebateV was a web interface for searching 1,000,000+ pieces of evidence for debaters to use to write their cases. While active from August 2020 to August 2023, it gained over 1,000,000 page visits.
Python Package: genagents
Worked as a developer on a Python package to enable researchers to easily build LLM‑based generative agents. The package accompanied the release of the paper Generative Agent Simulations of 1,000 People.