Daniel Kilper is an Adjunct Senior Research Scientist at the Data Science Institute at Columbia University. His work focuses on applying advanced computational techniques to solve real-world data challenges. He is involved in interdisciplinary research that involves collaboration across different departments and areas of expertise. Daniel has contributed to various projects that aim to leverage large datasets for insights and decision-making processes. His interest lies in the application of data science principles to improve outcomes in various sectors, including education and healthcare. With a strong background in statistical modeling and machine learning, he helps to guide research initiatives that harness the power of data for societal benefit.