Generable
Jacqueline has been working in biostatistics and bioinformatics for over 15 years, starting in cardiology research at the TIMI Study Group at Harvard Medical School before working in Alzheimer’s Disease genetics at Boston University and in biomarker discovery for cancer immunotherapies at the Hammer Lab. Most recently she was the Lead Biostatistician at the Institute for Next Generation Health Care at Mount Sinai. She is the author of the survivalstan package and a contributor to the rstanarm package.
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Generable
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The Generable platform is utilizing the latest advances in probabilistic programming, Bayesian inference, and multi-level regression and poststratification (MRP) for dose optimization, making go/no-go decisions from early clinical data, assessing the predictive power of biomarkers, and performing principled subgroup analysis.