The LP Lab at The University of Texas at Austin focuses on developing innovative statistical methods for surrogate marker evaluation and application. Our team, composed of graduate and undergraduate students, works on advancing methodologies that improve how surrogate markers are assessed and utilized in clinical and policy settings. Through rigorous research and collaboration, we aim to enhance decision-making in healthcare and beyond.

LP Lab

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You can learn more about our team and what we do here. We welcome students from The University of Texas at Austin's Statistics and Data Science (SDS) to be part of our research. The SDS program offers a rigorous undergraduate major that provides a strong foundation in statistical modeling, machine learning, and computational methods. For those interested in advanced research, the Ph.D. program trains students in cutting-edge statistical methodology and applications, preparing them for careers in academia, industry, and government. If you're a UT Austin SDS student interested in working with us, we encourage you to reach out!