Lauren is a fourth-year graduate student (second-year Ph.D.) in the Biostatistics Division at the University of California, Berkeley. Her research focuses on causal inference design and analysis. She has research experience collaborating with scientists from various fields, such as computational neuroscience, mechanical engineering, and psychology. Lauren enjoys helping others tackle statistical problems and providing mentorship. She wants to become an investigator to establish equitable learning opportunities and solve intractable problems for the understudied, underrepresented, and underreported community.
Biostatistics, causal inference, machine learning, health applications, matching, experimental design and analysis