Emilie Højbjerre-Frandsen is an industrial PhD student at Novo Nordisk A/S and Aalborg University, where she is supervised by Claus Dethlefsen and Rasmus Waagepetersen. Her research centers on increasing efficiency in randomized clinical trials within the pharmaceutical industry, with a focus on optimizing study designs and data analysis techniques. Emilie has a strong interest in bridging the gap between statistical methodologies and practical applications in clinical settings. She was a visiting scholar at the CTML group from February 2024 to February 2025, where she worked closely...
Dr. David McCoy, a postdoctoral researcher at CTML, holds a Ph.D. in Environmental Health Sciences from the UC Berkeley School of Public Health, where he was mentored by Alan Hubbard, Alejandro Schuler and Mark van der Laan. His educational background also includes an MSc in Epidemiology, a BA in Philosophy, and a BS in Cognitive Neuroscience. David’s research is rooted at the intersection of causal inference, machine learning, and semiparametric statistical theory. With this multidisciplinary approach, he crafts robust solutions to complex, real-world problems. He has developed...
Carlos García Meixide's research focuses primarily on causal inference under hidden confounding and its implications for statistics and machine learning. He has extensive experience in neurological disease progression analysis from the pharmaceutical industry and collaborates with Mark van der Laan at CTML as part of his PhD, which he pursues in Madrid at the National Research Council of Spain. He completed his MSc in Statistics at ETH Zürich and his BSc in Mathematics and Physics at Universidade de Santiago de Compostela and the University of Southampton. He aims to innovatively guide...
