PeopleofSuperintelligence

Researcher

Angelina Wang

Angelina Wang is a responsible AI researcher whose work examines fairness, social bias, and evaluation. She coauthored studies of racial bias in image captions at ICCV 2021 and methods for measuring representational harms at FAccT 2022. Her ICCV 2023 oral showed how carefully curated fine-tuning data can reduce bias inherited from pretrained models; by 2024, she held a computer science PhD from Princeton. She coauthored an ACL 2025 Best Paper on when language models should account for group differences, joined the Center for Democracy & Technology’s 2026 Non-Resident Fellows cohort, and contributed to Cornell Tech’s Mastercard collaboration on generative AI evaluation. She is an assistant professor of information science at Cornell Tech and Cornell Bowers, and a field faculty member in computer science and data science at Cornell; she joined Cornell Tech in July 2025 after a Stanford postdoctoral appointment.

Timeline

  1. 2021

    Racial bias in image captions

    At ICCV 2021, she coauthors “Understanding and Evaluating Racial Biases in Image Captioning” with Dora Zhao and Olga Russakovsky. The study reports differences in caption performance, sentiment, and word choice between images depicting lighter- and darker-skinned people.

  2. 2022

    Measuring captioning harms

    At FAccT 2022, she coauthors “Measuring Representational Harms in Image Captioning.” The paper lays out methods for operationalizing potential harms and measures harms in an automated captioning model on two popular datasets.

  3. 2023

    A Princeton PhD student

    At EECS Rising Stars 2023, she is a PhD student at Princeton University advised by Olga Russakovsky. She has a B.S. in electrical engineering and computer science from UC Berkeley.

  4. 2023

    Overwriting pretrained bias

    Her ICCV 2023 oral paper, “Overwriting Pretrained Bias with Finetuning Data,” finds that careful curation of fine-tuning data can reduce bias inherited from pretrained models.

  5. 2025

    An ACL Best Paper

    She coauthors “Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs” with Michelle Phan, Daniel E. Ho, and Sanmi Koyejo. Its benchmark tests eight scenarios for when language models should account for group differences, and ACL names it a Best Paper.

  6. 2026

    A CDT fellowship

    The Center for Democracy & Technology names her to its 2026 cohort of Non-Resident Fellows.

  7. March 2026

    Auditing generative AI

    In March 2026, Cornell Tech launches a collaboration with Mastercard to develop methods for evaluating and auditing generative AI systems, and she is part of its research team. The project focuses on realistic evaluations and audit frameworks that detect outcome variance across the AI pipeline.

  8. July 2025–October 2026

    Cornell Tech assistant professor

    By 2024, she holds a computer science PhD from Princeton University. Cornell Tech appoints her assistant professor of information science effective July 2025 after a postdoctoral appointment at Stanford. As of October 2026, she is an assistant professor at Cornell Tech and Cornell Bowers, and a field faculty member in computer science and data science at Cornell; her research focuses on machine-learning fairness and algorithmic bias.

Career

  1. Since 2025Cornell UniversityAssistant Professor of Information Science
  2. Until 2025Stanford UniversityPostdoctoral researcher

Education

  1. University of California, BerkeleyB.S. in electrical engineering and computer science
  2. Princeton UniversityPhD

From the biography.

  1. 11% of AI doctorate holders from 2010 to 2016 founded or led a company or lab by 10 years after graduationIncludes Cornell University. We estimate how often AI doctorate holders founded or led a company or lab by 10 years after graduation, how waiting times compare between founders and top jobs, and which universities trained the most.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Cornell University. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  3. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorateIncludes Cornell University. 84% of people shaping AI with recorded undergraduate and doctoral schools changed institutions for their doctorate. Across 2,116 people with both an undergraduate degree and a doctorate recorded, we trace which undergraduate schools feed which doctoral programs, how often students stay at the same school, and how paths differ by birth-country region.
  4. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Cornell University. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Angelina Wang yet. Send us a free-licensed photo.

  1. Understanding and Evaluating Racial Biases in Image Captioning - Princeton University collaborate.princeton.edu. Checked 21 October 2026.
  2. ACM FAccT - 2022 Accepted Papers facctconference.org. Checked 21 October 2026.
  3. EECS Rising Stars 2023 | Welcome to Rising Stars eecsrisingstars2023.cc.gatech.edu. Checked 21 October 2026.
  4. [2303.06167] Overwriting Pretrained Bias with Finetuning Data arxiv.org. Checked 21 October 2026.
  5. Fairness through Difference Awareness: Measuring Desired Group Discrimination in LLMs - ACL Anthology aclanthology.org. Checked 21 October 2026.
  6. Angelina Wang angelina-wang.infosci.cornell.edu. Checked 21 October 2026.
  7. Angelina Wang | Department of Computer Science | Cornell Bowers cs.cornell.edu. Checked 21 October 2026.
  8. Cornell Tech partners with Mastercard to advance AI governance standards | Cornell Chronicle news.cornell.edu. Checked 21 October 2026.
  9. Hadar Averbuch-Elor, David Reiss, and Angelina Wang Join the Cornell Tech Faculty tech.cornell.edu. Checked 21 October 2026.