Yuxin Wang 王语馨

I am a PhD student in Computer Science at LMU Munich, in the Institute of AI in Management, supervised by Prof. Dr. Stefan Feuerriegel. I am affiliated with the Munich Center for Machine Learning (MCML) and relAI (MCML). My research is in causal machine learning, semiparametric estimation, multi-fidelity Gaussian Process, with a growing focus on applications to LLM alignment and safety. More specifically, my research interests span:

• Semiparametric & debiased ML: efficient influence functions, doubly robust estimation, and Neyman-orthogonal methods for treatment effects
• Causal survival analysis: partial identification and CATE bounds for time-to-event outcomes under informative censoring
• Causal inference for LLM alignment: off-policy evaluation, policy learning, and safety from preference and observational data
• Applications in medicine and economics