Bojian Hou

About Bojian Hou

I am a machine learning researcher at Meta, with a background in trustworthy AI, generative models, and real-world applications in healthcare, vision, and recommendation systems. My current focus is on applied ML at scale—designing robust, fair, and efficient systems for ranking, retrieval, and user modeling. Research & Applied Focus• Trustworthy AI: Fairness, interpretability, and robustness in dynamic and open environments• Large Language Models (LLMs): Calibration, uncertainty estimation, and response controllability• Multimodal Learning: Vision-language modeling, generative understanding, and multimodal representation alignment• Recommendation Systems: Multi-stage ranking, user modeling, and exploration of LLMs for next-generation recommendation• Healthcare AI: Mental health support, Alzheimer\'s disease modeling, and socially responsible AI Selected Highlights• 50+ publications in NeurIPS, ICML, ICLR, IJCAI, EMNLP, AISTATS, UAI, AMIA, TKDE, TNNLS, Medical Image Analysis• Best Paper Award @ ACM BCB 2023, CCFAI 2019; Distinguished Paper Award @ AMIA 2024• Mentored 20+ students and contributed to multiple NIH/NSF grants as PI/co-PI Ongoing Interests• Applied GenAI at scale: robust LLMs, calibrated generation, multimodal reasoning• ML for Ads & RecSys: efficient training, multi-stage ranking, causal & long-term optimization• Trustworthy ML in production settings• AI for social impact, mental health, and healthcare innovationI’m passionate about building intelligent systems that are both technically rigorous and socially responsible—bridging the gap between deep research and impactful, real-world deployment. Open to meaningful collaborations at the intersection of ML research, GenAI, and large-scale systems. Personal Website: https://bojianhou.com Google Scholar: & hl=en#MachineLearning #GenAI #LLM #Recommendation #VisionLanguageModel #TrustworthyAI #FairAI #RobustAI #Multimodal #RecSys #HealthcareAI

Experience

1. Ai Research Scientist

   Meta

   Jul 2025 — Present · Mountain View, CA, US

Education

• Nanjing University

  Bachelor of Science - BS, Computer Science and Technology

  2010 — 2014

• Nanjing University

  Doctor of Philosophy - PhD, Machine Learning, Artificial Intelligence

  2014 — 2020