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Conference Papers, Journal Papers, and Book Chapters

An Effective Theory of Bias Amplification
Strong Model Collapse
SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
Understanding "Democratization" in NLP Research
Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction
Evaluating the Social Impact of Generative AI Systems in Systems and Society
Motif-Driven Contrastive Learning of Graph Representations
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness
Bound by the Bounty: Collaboratively Shaping Evaluation Processes for Queer AI Harms
It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance
Best Paper Queer In AI: A Case Study in Community-Led Participatory AI
On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs
Queer in AI
On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies
MOTIF-Driven Contrastive Learning of Graph Representations
Automated, Cost-Effective Optical System for Accelerated Antimicrobial Susceptibility Testing (AST) Using Deep Learning
Estimating the Ages of FGK Dwarf Stars Through the Use of GALEX FUV Magnitudes

Workshop Papers

Pairwise Matching of Intermediate Representations for Fine-grained Explainability
Stop! In the Name of Flaws: Disentangling Personal Names and Sociodemographic Attributes in NLP
Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian Languages
Critical Technopolicy and Reflexivity For Proactive Gender-Inclusive NLP
Group Excess Risk Bound of Overparameterized Linear Regression with Constant-Stepsize SGD
You Reap What You Sow: On the Challenges of Bias Evaluation Under Multilingual Settings
How to Make Virtual Conferences Queer-Friendly: A Guide
Motif-Driven Contrastive Learning of Graph Representations
Queer | Inclusive | Badass

Preprints

Agree to Disagree? A Meta-Evaluation of LLM Misgendering
auto-fpt: Automating Free Probability Theory Calculations for Machine Learning Theory
Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation
Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Fairness and Bias Mitigation: A practical guide into the AllenNLP Fairness module

Public Scholarship

Queer AI Harms and Proposed Policy Interventions
AI and Queer Communities
FINDINGS: Exploring the Impact of AI
Queer in AI National AI Advisory Committee 2023 Briefing
Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Management

Honors

  • Two Sigma PhD Fellowship Nominee, 1 of 6 students selected by UCLA (2024)
  • Amazon Science Hub Fellowship (2024) Site
  • Google PhD Fellowship Nominee, 1 of 4 students selected by UCLA (2024)
  • JP Morgan PhD Fellowship Nominee, 1 of 2 students selected by UCLA (2024)
  • LoG Conference Top-10 Reviewer (2023)
  • Queer in AI Ford Foundation Research Grant (2023) Site
  • FAccT Best Paper Award (2023) Site
  • NSF MENTOR Fellowship (2022)
  • Allen AI Outstanding Intern of the Year (2021) Site
  • Major League Hacking Top 50 (2021) Site
  • UCLA Samueli School-Wide Outstanding Bachelor of Science (2021) Site
  • UCLA Chancellor's Service Award (2021) Site
  • UCLA Samueli Engineering Achievement Award in Student Welfare (2021) Site
  • UCLA Eugene V. Cota-Robles Fellowship (2021)
  • Boeing Company Scholarship (2021)
  • Brian J. Lewis Endowment (2021)
  • UCLA Dean's Honors List (2018-2021)
  • Computing Research Association Outstanding Undergraduate Researcher Honorable Mention (2020) Site
  • IBM Quantum Challenge (2020)
  • 3rd Place Award for Best Hack @ Rose Hack, Major League Hacking (2019)
  • Siemens Competition Regional Finalist (2017) Site
  • Award of Achievement, Association for Computing Machinery, San Francisco Bay Area Professional Chapter (2016)

Invited Talks

  • Theoretical and Empirical Insights into Degree Bias in GNN, DEFirst Reading Group - MILA x Vector (2025) Video
  • From “Democratization” to Personal Names: Reimagining NLP Practices Towards Justice, USC ISI Natural Language Seminar (2025) Event Slides Video
  • From "Democratization" to Personal Names: Reimagining NLP Practices Towards Justice, Algorithmic Decision Systems (ADS) Reading Group, UC Berkeley (2024) Slides
  • Queer In AI: A Case Study in Community-Led Participatory AI, Microsoft GLEAM Security (2024) Slides
  • From "Democratization" to Personal Names: Reimagining NLP Practices Towards Justice, UC Berkeley Data Science for Social Justice Workshop (2024) Slides
  • 'Queer-Inclusive' AI: Contesting the Power Structures and Logics of Machine Learning, IBM Research Tech for Justice Seminar (2024) Slides
  • Queer In AI: A Case Study in Community-Led Participatory AI, Data & Society (2024) Slides
  • Bias, Discrimination, and Power: Graphs and Natural Language, KUNGFU.AI (2023) Slides
  • Bias and Power in NLP, USC ISI Natural Language Seminar (2023) Event Slides Video
  • Bias and Power in NLP (for consultants), Paris (2022) Slides
  • Bias and Power in NLP, NLP Seminars at Dublin College University, Ireland (2022) Slides
  • Guest Lecture: Bias in Natural Language Processing, COM SCI 263: NLP, UCLA (2022) Slides Video
  • Queer in AI: Making AI Queer-Inclusive and Prioritizing Grassroots D&I Activism, Humlab, Umeå University (2022) Slides Video
  • Prioritizing Grassroots D&I Activism: Queer in AI, AAAI Workshop on Diversity in Artificial Intelligence (2022) Event Slides
  • Prioritizing Grassroots D&I Activism: Queer in AI, Nike Sport+AI Conference (2022) Event Slides
  • How Can I Make My Hackathon Queer-Inclusive?, Hackcon IX (2021) Slides Video
  • An Automated and Cost-Effective System for Early Antimicrobial Susceptibility Testing Using Optical Fibers and Deep Learning, UCLA HHMI Day (2019) Slides

Invited Panels

  • QICSE Panel, UC Berkeley (2024)
  • Challenges and Perspectives for queer and/or disabled communites presented by AI in HCI, ICML Queer in AI Workshop (2024) Event
  • Artificial Intelligence and Democratic Values Roundtable, Center for AI & Digital Policy (2024) Event
  • UCLA Computer Science PhD Visit Day Panel (2024)
  • UCLA ACM AI Outreach GALA Panel (2024)
  • Queer Computation: A Critical Unmaking, Coding Inquiry, McMaster (2024)
  • AI in the Time of Generative Models: Ensuring that Diverse Voices Are Heard, AAAI Workshop on Diversity in Artificial Intelligence (2024) Event
  • Students with Disabilities Panel, UCLA (2023)
  • US AI Policy: Next Steps (2023)
  • Queer in AI National AI Advisory Committee Briefing (2023) Event Briefing Video Press Findings
  • Partnership on AI Inclusive Data Collection Workshop (2023)
  • Data & Society Salon Series on Responsible AI in Government (2023)
  • Students with Disabilities Panel, UCLA (2022)
  • Accessibility and Inclusion Panel, Neuromatch Academy (2022) Video
  • Gender as a Variable in NLP, NAACL Queer in AI Workshop (2022) Event Video
  • NYU Center for Responsible AI Roundtable on Accessible AI Education (2022)
  • Co-Opting AI: Queer, NYU's Institute for Public Knowledge (2022) Event Video
  • How Do We Improve DEI in AI?, Nike Sport+AI Conference (2022)
  • Eye on A.I.: Equity & Inclusion in A.I. Technology, Toronto Public Library (2021) Video
  • Intersectionality Panel, NAACL (2021) Video

Press

  • Creating queer inclusive research and experiences in AI, The TechTank Podcast (2024)
  • How Can AI Affect LGBTQIA+ People In India? Three Indian-Origin Queer Researchers Explain, IndiaTimes (2023)
  • Arjun Subramonian: The Intersection of AI, Diversity, and Ethics, Eye on A.I. (2023)
  • What does an award-winning AI tech paper have to say about participatory governance?, Circle Back Newsletter by Public Technology Leadership Collaborative (2023)
  • Making AI Systems More Just with Arjun Subramonian, Unhinged Collaboration (2023)
  • Queering the Tech Industry, Bloom Season 2 (2023)
  • Fighting AI bias means championing LGBTIQ+ rights, Campus 10178 (2023)
  • Seven Ways to Put Intersectionality into Your Research, Queer in AI Blog (2023)
  • Ethics in AI Wonderland, Queer in AI Blog (2023)
  • Arjun Subramonian on Queer Approaches to AI and Computing, The Good Robot (2023)
  • Trans Researchers Want Google Scholar to Stop Deadnaming Them, WIRED (2022)
  • Taking The TamBram Out of Pride Month, gaysi (2022)
  • Asian-Americans, we must resign from our role as Silicon Valley's model minority mascot, XRDS: Crossroads, The ACM Magazine for Students, Volume 28, Issue 4 (2022)
  • .Tech Domains x Major League Hacking: 24 Student Programmers Share Their #MyStartInTech Stories, .Tech Domains (2021)
  • UCLA Engineering Outstanding Bachelor Awardee Champions Equity for LGBTQ+ Community, UCLA Samueli Newsroom (2021)
  • Queer in AI with Arjun Subramonian, 500 Queer Scientists (2021)
  • UCLA Samueli Announces 2021 Commencement Awards, UCLA Samueli Newsroom (2021)
  • QWER Hacks: A Case Study on How to Build an Inclusive Hackathon, UCLA Samueli Newsroom (2021)
  • UCLA's ACM AI Podcast Addresses AI and Diversity, Featuring Guests from Underrepresented Communities, UCLA Samueli Newsroom (2021)
  • Student-run tech podcast aims to make computer science more diverse, accessible, Daily Bruin (2021)
  • Students code software to help underrepresented groups in LGTBQ+ hackathon, Daily Bruin (2020)
  • Equality in America Town Hall with Tom Steyer, CNN (2019)
  • Washington, California Students Win Regional Siemens Competition at California Institute of Technology, citybizlist (2017)
  • Indian American STEM Whiz Kids Named 2017 Siemens Regional Finalists, IndiaWest (2017)
  • Three MVHS students make it to semifinal round of Siemens competition, El Estoque (2017)

Service

  • Reviewing:
  • Conference organization:
    • LoG Outreach Chair (2024)
    • FAccT Socials Chair (2024)
    • NeurIPS Affinity Workshops Chair (2022, 2023)
    • KDD EDI Day Chair (2023)
    • NAACL Accessibility Chair (2022)

  • Workshop and social organization:
  • Policy:

  • Equity, Diversity, & Inclusion (EDI):
  • Teaching:
  • Mentoring: I am fortunate to have mentored brilliant students:
    • Margaret Capetz (PhD at University of Washington)
    • Naisha Agarwal
    • Pranav Subbaraman
    • Steven Swee