Rebecca Sanaeikia

PhD Candidate · University of Rochester

Hi, I'm Rebecca Sanaeikia

I'm Becca — a philosopher and bioethicist asking how institutions like hospitals, courts, databases, and social media platforms can stop using classification as a tool of exclusion and start using it as a tool of justice. My work sits at the intersection of trans studies, political philosophy, and AI ethics.

Bioethics Data Ethics Trans Studies Epistemic Justice Digital Spaces

Latest Research, Media & Teaching

Latest Research

My paper in AJOB proposes the "atomic approach" to transgender data collection — disaggregating sex/gender into constituent clinical attributes to reduce epistemic injustice in biobanks.

See all publications →

Media & Speaking

I was recently on the PhilOcc Podcast discussing AI and trans health ethics. I also co-organize Wonder Philosophy — bringing philosophy outside the academy.

See media appearances →

Teaching

I am currently teaching Introduction to Privacy, Fairness, and Ethical Considerations for Healthcare Data Science at the Goergen Institute for Data Science and Artificial Intelligence, University of Rochester, and have previously taught Intro to Moral Issues at Rochester Institute of Technology and Queer Spaces Online at University of Rochester.

See teaching record →

A justice-first framework for trans data

Most scholarship on classification asks: what is the most accurate way to categorize people? I start from a different place — what is the most just? This is what I call a justice-first approach to ontological questions about sex, gender, and trans status.

Standard systems impose a single framework across medical records, insurance claims, legal documents, and research databases — what philosophers call ontological monism. For trans, nonbinary, and intersex people, this produces systematic blind spots and real-world harms.

Drawing on Robin Dembroff's ontological pluralism and Kristie Dotson's concept of epistemic injustice, I argue that multiple, context-sensitive frameworks must coexist.

Read the full research statement →
01

Data Design

Developing the "atomic approach" — replacing binary sex/gender fields with trait-level clinical attributes that capture only what is medically relevant, reducing harm while enabling rigorous research.

02

Epistemic Justice

Analyzing how EHRs, claims algorithms, and research databases perpetuate epistemic injustice — dismissing trans testimony, producing cisnormative bias, and silencing the people most affected.

03

Digital & Social Spaces

Extending the justice-first lens to content moderation: arguing that platform failures to protect LGBTQ+ users constitute public health crises requiring ethical accountability.

Recent Work

2026

Beyond Two-Step Methodology: The Atomic Approach to Transgender Data Collection in Biobanks

American Journal of Bioethics · Published June 2026

2026

Content Bubbles: The Double Bind of Trust Erosion and Exclusion

Forthcoming — Feminist Philosophy Quarterly

2025

Epistemic Violence Against Trans* People in Iran: Unethical Medico-Legal Processes of Gender-Affirming Care

Journal of Gender Studies

View publication →
2024

Doing Justice: Ethical Considerations Identifying and Researching Transgender and Gender Diverse People in Insurance Claims Data

Journal of Medical Systems

View publication →
Project Outside Academia

Project Sogand

The Transfemicide Database

In my spare time, I founded Project Sogand — an open-source archive documenting fatal violence against trans feminine and queer people in Iran. It is both a memorial and a data resource: built to empower survivors, honor those lost, and support future scholarship. The same justice-first principles that animate my academic work apply here, where the stakes are most visible.

Visit Project Sogand

When I'm not philosophizing

Illustration of Rebecca gaming in a cozy purple-lit setup

Gaming

Currently deep in Arc Raiders. Video games are where I decompress — the worldbuilding and emergent narratives aren't so far from ontology, honestly.

Illustration of Rebecca playing with her black cat

Beautiful & Sweet Pea

My two cats: Beautiful and Sweet Pea. They are exactly as wonderful as their names suggest and significantly better at sitting still than I am.

Let's connect

I welcome collaborators, questions, and feedback from researchers, advocates, and community members. Find me online or write me directly.