I am a first-year PhD student in Computer Science at Princeton University advised by Prof. Manoel Horta Ribeiro and Prof. Andrés Monroy-Hernández. My research sits at the intersection of human-computer interaction (HCI), computational social science (CSS), and human-centered AI (HAI).

My research has two complementary components:

• First, I study how existing AI-assisted systems influence human behavior and attitudes, often through controlled experiments and real-world interventions
• Second, I design, build, and evaluate more intentional AI-assisted systems that allow users to better express and pursue their goals and intentions. This often involves collaborating closely with partnering communities to understand users’ challenges and needs, then developing and evaluating new intentional technologies through field deployments and mixed-methods research.

Across both directions, I combine qualitative, quantitative, and engineering approaches across domains such as education, social media, and online platforms. Beyond my primary research, I also care a lot about teaching, mentorship, and supporting student learning. So from time to time, you will find me contributing to the CS Ed research community through side projects on AI in education, proof education, and learning technologies.

Email | CV | LinkedIn | OrcID | Google Scholar

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Publications

Manuscripts

• AI Assistance for Discretionary Work: Increasing Feedback Provision in Higher Education
  Romina Mahinpei, Victoria Dean, Ruth Fong, Lydia T. Liu, Manoel Horta Ribeiro
  Under review · [Paper] · [Code]
  

Conference Papers

• Performance and Start-Time Trends in Asynchronous Computer-Based Assessments
  Irix Xu*, Romina Mahinpei*, Steven Wolfman, Firas Moosvi
  SIGCSE TS 2026 · [Paper]
  

• Interactive Theorem Provers for Proof Education
  Romina Mahinpei, Manoel Horta Ribeiro, Mae Milano
  SPLASH-E 2025 · [Paper] · [Code]
  

• An Emergent Bottom-Up Categorization of Students’ LLMs Usage in an Undergraduate Research Course
  Ivan Orozco Vasquez*, Romina Mahinpei*, Noureddine Elouazizi, Cristina Conati
  AIED 2025 · [Paper]
  

• A Generalized Framework for Describing Question Randomization
  Romina Mahinpei*, Iris Xu*, Steven Wolfman, Firas Moosvi
  ICER 2025 · [Paper]
  

Posters & Workshop Papers

• AI Assistance for Discretionary Work: Increasing Feedback Provision in Higher Education
  Romina Mahinpei, Victoria Dean, Ruth Fong, Manoel Horta Ribeiro
  IC2S2 2026 (non-archival presentation)
  

• CNPE: A Framework for Challenges and Needs in Proof Education
  Romina Mahinpei, Sofiia Druchyna, Xinran Bi
  SIGCSE TS 2026 · [Poster]
  

• Characterizing the Relationship Between Generative AI, Student Behavior, and Learning Outcomes in Upper-Level CS Education: A Case Study in an Undergraduate Machine Learning Course
  Anha Khan, Romina Mahinpei, Maryam Hedayati, Victoria Dean, Ruth Fong
  SIGCSE TS 2026 · [Poster]
  

• Provenance Design and Evolution in a Production ML Library
  Adam Craig Pocock, Joseph Wonsil, Romina Mahinpei, Jack Sullivan, Margo Seltzer
  CODEML @ ICML 2025 · [Workshop Paper] · [Code] · [Tutorial]

• A Generalized Framework for Describing Question Randomization
  Romina Mahinpei*, Iris Xu*, Steven Wolfman, Firas Moosvi
  SIGCSE TS 2024 · [Poster] · [Code] · [Video]
  

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Teaching

I’ve had the pleasure of being a teaching assistant for the following courses:

• COS 598D Empirical Research Methods in CS, Princeton (2026)
• COS 324 Introduction to Machine Learning, Princeton (2024-2025)
• CPSC 313 Hardware & Operating Systems, UBC (2023-2024)
• CPSC 210 Software Construction & Development, UBC (2022-2023)
• Science One Differential & Integral Calculus, UBC (2021-2022)