Lulu Kang

My research pursuits revolve around the creation of novel theories and methodologies in fields such as Statistical Learning/Machine Learning, Statistical Design of Experiments, Uncertainty Quantification, Bayesian Statistical Modeling, Approximate Inference, and Optimization. I've dedicated myself to interdisciplinary research, where the transformative power of data science intersects with realms as diverse as mechanical engineering, manufacturing, chemistry, material sciences, healthcare, and social sciences. Recently, I have been working on some causal inference problems with applications in social and economic sciences.