A Journey Through Causal Inference and Inspiration In 2015, on the brink of defending a dissertation in biostatistics, the author found new hope and direction. Initially focused on causal inference, the research pivoted toward handling longitudinal missing data under expert mentorship. Yet, a lingering curiosity for causal inference remained—until a lecture by Professor Susan Murphy introduced the concept of adaptive treatment strategies. This moment reignited a passion for personalized causal inference, shaping future innovations in using non-experimental time series data for causal analysis.