Summary
Bojian Hou is an AI Research Scientist at Meta with 12 years of experience bridging top-tier ML research and real-world systems in healthcare, vision, and recommendation. He specializes in trustworthy AI, large multimodal models, and scalable applied ML for ranking, retrieval, and user modeling, with 50+ publications and multiple best/distinguished paper awards. His work uniquely blends theory and impact—developing LLM-based mental health tools (MentalGPT/MentalChat), fairness-aware algorithms for medical data, and production-ready approaches for calibrated, controllable generation. A proven mentor and grant PI/co-PI, he has led interdisciplinary teams and secured NIH/NSF support for Alzheimer's and healthcare projects. Based in Mountain View, he focuses now on robust GenAI at scale and next-generation recsys informed by causal and long-term optimization.
12 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Machine Learning, Artificial Intelligence, Doctor of Philosophy - PhD, Machine Learning, Artificial Intelligence at 南京大学