Haolun Wu 吳昊倫

I am currently a visiting scholar working with Prof. Sanmi Koyejo at Stanford Trustworthy AI Research (STAIR) Lab. Happy to chat on any related topics.

🎙️I am honored to be invited by Prof. Tongliang Liu to give a Rising Star talk at MBZUAI on trustworthy foundation models. Looking forward to visiting Abu Dhabi again!

I am a Ph.D. candidate in Computer Science at McGill University and Mila - Quebec AI Institute. I am delighted in working with Steve Liu, Joelle Pineau, and Laurent Charlin. I also collaborate closely with Fernando Diaz and have him on my supervisory committee.

My research is around human-centric AI and AI alignment, and broadly touches personalization, evaluation, and responsibility in information access systems. I am particularly interested in learning from human feedback for human-AI alignment, spanning both micro-level aspects (such as personalization and data values) and macro-level aspects (such as social goods and norms). Additionally, I love interdisciplinary research and am particularly interested in applying AI/ML techniques to Education and Psychology.

I am one of the organizers of the OracleLLM community, where we dive into the frontier of using LLMs as oracles—trusted agents capable of providing reliable, high-level insights. I am also one of the significant contributors to the Test-Time Scaling (TTS) survey, a collaborative effort to understand and push the boundaries of how LLMs can adapt and improve at inference time.

Below is a list of topics covered in some of my projects that I led or highly engaged:

• ▶ 👤 Alignment towards Human Preference
  • User modeling and preference elicitation [NeurIPS'24] [ICDE'24] [SIGIR ICTIR'24] [TOIS'23]
  • Efficient Personalized LLM Adaptation [ICML'25]
  • Data-Centric Learning for Robust Personalization [CIKM'24] [CIKM'22]
• ▶ 🌍 Alignment towards Social Goods
  • Fairness and Inclusivity [SIGIR'22] [TKDE'24] [TOIS'22]
  • Trustworthiness and Transparency [ICML'25] [WWW'25]
  • Knowledge and AI+Education [EMNLP'24] [CHI'24] [AIED'25] [AIED'25]

During my Ph.D. journey, I interned and collaborated closely with researchers at Microsoft Research, Google Research, and Google DeepMind. My research is generously supported by McGill Graduate Excellence Award, Borealis AI Fellowship, and FRQNT PhD Scholarship (ranked 1st place).

📑 Curriculum Vitae