Jacob Maronge is a statistics leader driving methodological innovation for oncology and vaccines at GSK, bringing a decade of experience at the intersection of biostatistics, clinical trials, and machine learning. He holds a PhD in Statistics from the University of Wisconsin–Madison and completed postdoctoral work at MD Anderson focused on Bayesian precision-medicine trial designs for early-phase oncology. Prior to GSK he translated cutting-edge methods into practice at a biotech startup (Unlearn.AI), blending observational-study methodology with synthetic-control and ML approaches. His research expertise spans biased sampling schemes, generalized linear models, Bayesian methods, and adaptive trial design, with a strong practical orientation toward regulatory and translational challenges. Based in Houston, he pairs deep statistical theory with hands-on implementation to accelerate oncology development. A physicist by training, he brings uncommon quantitative breadth that helps bridge epidemiology, computational modeling, and clinical decision-making.
10 years of coding experience
6 years of employment as a software developer
Master of Science - MS, Biostatistics, Master of Science - MS, Biostatistics at Louisiana State University Health Sciences Center
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of Wisconsin-Madison
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at University of Wisconsin-Milwaukee
Contributions:15 pushes, 1 branch in 1 year 11 months
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Jacob Maronge - Statistics Leader, Statistics & Data Science Innovation Hub, Oncology & Vaccines