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Nilanjana Laha is an Assistant Professor in the Department of Statistics at Texas A&M University College of Arts and Sciences. Her research interests focus on dynamic treatment regimes, high dimensional statistics, and shape constrained inference. Through her work, she contributes to advancements in statistical methodologies, emphasizing practical applications in real-world problems. With an academic background steeped in rigorous statistical analysis, Laha engages in both theoretical and applied research to enhance understanding and improve decision-making processes within various fields. She is committed to integrating sophisticated statistical techniques with accessible frameworks to assist in data-driven research.