Welcome!
Our goal is to build the best AI for humans. We are most interested in the following applications (ordered randomly):
- Governance and democratic processes,
- Healthcare,
- Scientific discoveries.
Check this page for updated research directions!
We are always looking for motivated postdocs, PhD students, and undergraduates who are interested in human-centered AI, NLP, and computational social science! Please read this FAQ if you are interested.
Check out our Bluesky account .
News
Our new paper, On the Effectiveness and Generalization of Race Representations for Debiasing High-Stakes Decisions has been accepted to COLM 2025!
Aug 10, 2025 Checkout our blog: Concept Incongruence is Key to AI Safety and Creativity to learn what we found about concept incongruence, why it matters, and what’s next. Apr 24, 2025Checkout the first principled benchmark on hypothesis generation! Paper available at: HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation.
Dec 1, 2024Checkout the project website for our latest paper on hypothesis generation - Literature Meets Data: A Synergistic Approach to Hypothesis Generation!
Oct 29, 2024We have launched our Election NLP project website! This project will showcase the possibilities of using NLP to support humans’ political decision-making.
Sep 18, 2024 We are holding a symposium on Communication & Intelligence on Oct 18!People
Faculty
Postdocs
PhDs
Masters & Undergrads
Demo Links
Alumni
PhDs & Postdocs
- Julia Mendelsohn (Postdoc 2025 -> Assistant Professor at University of Maryland)
- Chacha Chen (PhD 2025 -> Apple)
- Yangqiaoyu (Rosa) Zhou (PhD 2025 -> Microsoft)
- Chao-Chun Hsu (PhD 2024 -> Amazon)
- Han Liu (PhD 2024)
- Shi Feng (Postdoc 2023 -> Research Associate at NYU -> Assistant Professor at George Washington University)
- Samuel Carton (Postdoc 2022 -> Assistant Professor at the University of New Hampshire)
- Vivian Lai (PhD 2022 -> Research scientist at VISA research)
- Estelle Smith (Postdoc 2022 -> Assistant Professor at the Colorado School of Mines)
- Jason Shuo Zhang (PhD 2020 -> Postdoc at Max Planck Institute -> Machine Learning Scientist at ASOS)
Master, Undergrads, and High School Students
- Jessica Ji (Master 2025 -> Vanguard)
- Tejes Srivastava (Master 2025)
- Yixuan (Tom) Wang (Master 2025 -> PhD at University of Waterloo)
- Shuyuan (Lily) Wang
- Shengyuan Wang (Undergrad 2025, Tsinghua University -> PhD at Tsinghua University)
- Jiamin Yang (Master 2024 -> PhD at TTIC)
- Grace Wang (Undergraduate 2024)
- Miles Wang
- Aditya Krishna (Undergraduate 2024)
- Zander Meitus (Master 2023)
- Harry Tian (Master 2023 -> PhD at Purdue University)
- Yiming Zhang (Master 2023 -> PhD at CMU)
- Kenan Tang (Undergrad 2023 -> PhD at UCSB)
- Brent DeVries (Undergraduate 2022)
- David Atkinson (Undergrad 2019, University of Colorado Boulder)
- Rajat Bhatnagar (Master 2021, University of Colorado Boulder)
- Ava Bartolome (Undergrad 2022, Clark University -> PhD at the University of Minnesota)
- Martin Chou (Undergrad 2022, Tsinghua -> Master at CMU)
- Rayan Garg (High school 2021 -> Undergrad at Cornell)
- Qitian Hu (Undergrad 2022)
- Zhenqi Li (Undergrad 2020, University of Colorado Boulder)
- Brian Lubars (Master 2019, University of Colorado Boulder)
- Shantanu Karnwal (Master 2019, University of Colorado Boulder)
- Madhusudhan Aithal Mahabhaleshwara (Master 2021, University of Colorado Boulder)
- Anirudh Rathore (Master 2021, University of Colorado Boulder)
- Kumar Bhargav Srinivasan (Master 2019, University of Colorado Boulder)
- Hunter Wapman (Master 2019, University of Colorado Boulder)
- Xiaochuang Han (Undergraduate 2019, Georgia Tech -> Master at CMU -> PhD at the University of Washington)
- Jie Wang (Undergrad 2020, University of Colorado Boulder)