Yuting Xu
Senior Lead Statistician, Translational And Early Development Biostatistics
Morristown, New Jersey, United States
Summary
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Senior🎓
Top SchoolYuting Xu is a Senior Lead Statistician with a PhD in Biostatistics and over a decade of experience applying machine learning, deep learning, and novel algorithm development to pharmaceutical R&D and complex scientific data. She has driven translational and early development biostatistics at Merck and now Sanofi, delivering neural ODE–based digital twins for bioreactors, algorithmic process optimization, and uncertainty-aware QSAR models that bridge modelling research and process development. Her work spans high-dimensional imaging, time-series, cheminformatics, and process analytics, and includes method development from change-point detection in fMRI to parallelized DCC-GARCH and probabilistic PCA for replicated binary data. Known for practical, production-minded research, she translates advanced sequential model-based optimization and interpretability techniques into tools that accelerate decision-making and reduce development risk. Based in Morristown, NJ, she combines deep academic training with hands-on implementation across R&D pipelines—an analyst who builds both the algorithms and the software to deploy them.
10 years of coding experience
9 years of employment as a software developer
Johns Hopkins UniversityBachelor of Science (B.S.) Mathematics and Physics, Bachelor of Science (B.S.) Mathematics and Physics at Tsinghua UniversityHigh School, High School at Xiamen No.1 High School
English, Chinese
Github Skills (4)
optimization7
active-learning7
machine-learning1
python1
Programming languages (1)
Github contributions (5)
Merck/DeepNeuralNet-QSAR
Feb 2017 - Oct 2018
Contributions:17 commits, 2 pushes, 1 comment in 1 year 8 months
xuyuting/xuyuting.github.io
Oct 2016 - Jul 2017
Contributions:24 pushes, 1 branch in 9 months
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