Yanan Long

Welcome to my personal webiste! I am a data scientist and machine learning researcher. I recently concluded my role as a Research Scientist at the University of Chicago. Prior to that, I obtained by PhD from the same place.

My research mainly focuses on ML for scientific applications, in particular to biomedical sciences, where I integrate knowledge from domain experts into predictive modelling and advocate MLOps best practices. I also work on mechanistic interpretability for transformer-based neural machine translation models, with a particular focus on gender biases and non-binary gender identities. In all my technical work, I use Bayesian statistics for rigorous model evaluation. Beyond technical research, I critically examine the socio-technical implications of AI through phenomenology and participatory design methodologies, ensuring that AI systems are developed with inclusivity and ethical considerations at the forefront.

Since 2023, I have been a core organizer at Queer in AI.

I am currently on both the industry and academic job markets for positions in data science, AI for science and/or ML engineering!

Updates

• 2026-07: Two main-conference papers and one workshop paper at ICML 2026: Who Evaluates AI’s Social Impacts? Mapping Coverage and Gaps in First and Third Party Evaluations, When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation, and Bayesian decision audits for frontier AI evaluations at the ICML 2026 CTB and HT workshops.
• 2026-06: New preprint: Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting.
• 2026-06: Two papers, one tutorial, and one CRAFT session at ACM FAccT 2026, including work on FAccT community governance, grassroots AI policy engagement, community-governed AI evaluation infrastructure, and LGBTQIA2S+ algorithmic harms.
• 2026-04: Workshop paper at ICLR 2026 P-AGI: Participatory Governance for AGI Societal Impact: A Case Study of AI Ethics Community Reflexivity.
• 2026-04: Gave the talk “Renewal Prompts for Relationship-Centered Care with AI” at the CHI 2026 workshop Toward Relationship-Centered Care with AI: Designing for Human Connections in Healthcare.
• 2026-01: Workshop paper at AAAI 2026 MURE: Embracing Ambiguity: Bayesian Nonparametrics and Stakeholder Participation for Ambiguity-Aware Safety Evaluation.
• 2025-12: Two Workshop Papers at NeurIPS!
• 2025-06: Co-organizing a CRAFT session at ACM FAccT in Athens, Greece. Come find me or my wonderful collaborators Shiran Dudy and Jan Simson if you are attending FAccT!
• 2025-05: Co-organizing the Queer in AI workshop at NAACL in Albuquerque, NM, USA. Excited to be part of the first ever archival QinAI workshop!
• 2025-04: Presenting a poster on applying Bayesian statistics to AI model evaluations at the STAIG workshop at ACM CHI in Yokohama, Japan. Read the position paper.
• 2024-12: Co-organizing the Queer in AI workshop at NeurIPS in Vancouver, BC, Canada.