Eliza H. Berman

prof_pic.jpg

I’m a first-year PhD student at NYU Courant advised by Professors Daniel Neill and Emily Black. My research centers on fair, transparent, and accountable AI systems and their real-world applications and impacts, with a focus on LLMs. I am grateful to be supported by the NSF Graduate Research Fellowship Program (NSF GRFP).

Before joining NYU, I worked with Professor Carsten Eickhoff at Brown University and the University of Tübingen on NLP for healthcare, specifically focusing on LLMs in precision oncology.

selected publications

  1. arXiv
    Attribution Bias in Large Language Models
    Eliza Berman, Bella Chang, Daniel B. Neill, and Emily Black
    2026
  2. JMIR
    Retrieval Augmented Therapy Suggestion for Molecular Tumor Boards: Algorithmic Development and Validation Study
    Eliza Berman, Holly Sundberg Malek, Michael Bitzer, Nisar Malek, and Carsten Eickhoff
    J Med Internet Res, Mar 2025
  3. Poster
    Leveraging Natural Language Processing to Identify Priorities of Young Sexual and Gender Minority People in a Social Media Group: Implications for Health Interventions
    Alexander Chong*, Eliza Berman*, Shruta Rawat, Alpana Dange, Murugesan Sivasubramanian, Vivek Anand, and Viraj V. Patel
    In 15th Annual Machine Learning Symposium, New York Academy of Sciences, Oct 2024
    Poster presented. *Equal contribution.