BiAlign Lab Logo
👏 Welcome to our BiAlign Lab!
BiAlign Lab - explores the dynamic interaction and adaptation between humans and AI, with a focus on bidirectional human-AI alignment. Our research bridges Machine Learning, Multi-Modal AI (NLP, Speech, Vision), Human-Computer Interaction, and Social Computing to design systems that are not only intelligent, but also responsive to human values and societal needs.
We work closely with academic and industry partners worldwide, through efforts like the NeurIPS 2025 Position Paper, ICLR & CHI 2025 BiAlign Workshop, NeurIPS 2025 Tutorial, BiAlign Course @ NYU Shanghai, and ongoing collaborations, all contributing to more trustworthy and responsible AI.
BiAlign Lab Members
Our lab brings together outstanding PhD, Master's, and Undergraduate researchers from around the world. Thank You 🧡!

PhD Students

Yike Shi

Yike (Cassandra) Shi

PhD Student

NYU CS

Gordon Dai

Gordon Dai

PhD Student

NYU CS (Co-advisor: Joan Bruna)

Hengzhi Li

Hengzhi (Harry) Li

PhD Student

NYU CS (Co-advisor: Paul Liang)

Leo Wu

Leo Wu

PhD Student

NYU CS (Main advisor: Magdalena Fuentes)

Research Associates

Bonian Jia

Bonian Jia

Research Associate

Master @ GeorgiaTech

Nifu Dan

Nifu Dan

Research Associate

Master @ GeorgiaTech

Sushirita Rakshit

Sushirita Rakshit

Research Associate

Researcher @ Verizon

Chengtao Dai

Chengtao (Dario) Dai

Research Associate

Master @ Columbia University

Xinyi Zhou

Xinyi (Anna) Zhou

Research Associate

Master @ University of Washington

Balaji Boopal

Balaji Boopal

Research Associate

Researcher @ Amazon

Undergraduate Researchers

Yiyi Chen

Yiyi Chen

Undergraduate Researcher

Undergrad @ NYU Shanghai

Kaifang Mao

Kaifang Mao

Undergraduate Researcher

Undergrad @ NYU Shanghai

Yutong Han

Yutong (Marida) Han

Undergraduate Researcher

Undergrad @ NYU Shanghai

Chuke Liu

Chuke (Anna) Liu

Undergraduate Researcher

Undergrad @ NYU Shanghai

BiAlign Lab Alumni

  • Ashley Chen, Ipcoming Ph.D @ UIUC
  • Yuyang Jiang, Ipcoming Ph.D @ University of South Califoria
  • Jiajun Chen, Ipcoming Master Student @ CMU
  • Jinnuo (Jim) Liu, Ipcoming Ph.D @ NYU
  • Christina Ma, CMU Ph.D, | Papers: HypoCompass [AIES'24], ROPE [TOCHI'25]
  • Nick Clark, UW Ph.D, | Papers: ValueCompass, Epistemic Alignment
  • Marisa Yang, UIUC Ph.D, | Papers: ValueCompass
  • Snehal Prabhudesai, UMich Ph.D, | Papers: PromptAuditor [CHI'25]
  • Anindya Das Antar, UMich Ph.D, | Papers: PromptAuditor [CHI'25]
  • Tuc Nguyen, Indiana University Ph.D, | Papers: NoMatterXAI [AAAI'25]
  • Kenan Alkiek, UMich Ph.D. | Papers: BiAlign Survey
  • Jooyoung Lee, Penn State Ph.D. -> Amazon AGI | Papers: Identify DeepFake [HCOMP'23]
  • Weirui Peng, Columbia Master -> UMich PhD | Papers: ROPE [TOCHI'25]
  • Anmol Mansingh, UMich Master | Papers: PromptAuditor [CHI'25]
  • Ananya Kasi, UMich Undergrad -> Georgia Tech PhD | Papers: PromptAuditor [CHI'25]
  • Reuben Lee, Penn State Undergrad -> Capital One | Papers: ConvXAI [CSCW'23]
  • Join Us!

    Thank you for your interest in our research! We are always welcome passionate and self-motivated researchers to join our team!
  • Our lab students will be NYU students of either Courant CS Department Programs.
  • We are open to work remotely from anywhere on the earth.
  • You might be co-advised by me and my core collaborators in academia or industry.
  • Prospective PhDs
    We have several PhD openings, and are looking for self-motivated PhD students joining in 2026!
  • PhD Program: You can apply for NYU Courant Computer Science Department, and select your interest in being associated with NYU Shanghai. The final admission decision is made by the NYU committee. For more details regarding the program, please visit the NYU Shanghai Computer Science Ph.D. Program link.
  • Flexibility in Locations and Future Careers (US or China): You will spend Year 1 at NYU New York Campus to finish PhD courses. Starting from Year 2, you can choose your location working with me in Shanghai, New York, or remotely. For non-US citizens, students are eligible for F1 OPT after graduation, offering opportunities to work in the US.
  • Competitive Stipends: The stipends offered to PhD students are competitive. I am happy to share more in our 1:1 meetings.
  • Undergraduate & Master Students
  • We always welcome undergraduate and graduate studnets from diverse background! Visiting roles can be either in-person or remote. If you are intersted in joining us as an master, undergraduate, or pre-doc researcher, please send me an email with your CV.
  • Prospective Postdocs
  • I am not actively recruiting postdocs at the moment. However, I’m open to exploring 0–1 potential postdoc opportunities for strong candidates! If you are intersted, please send me an email with your CV.
  • Visitors & Collaborators
  • We generally prefer visitors to stay for at least 6 months for high-quality work. If you are interested in visiting our research lab, please send me an email with details.