Daniel Zilber
Postdoctoral Fellow at Med et al Inc.
Matthews, North Carolina, United States
Summary
👤
Senior🎓
Top SchoolDaniel Zilber is a quantitative scientist with 10 years of experience applying statistics, operations research, and data-driven decision-making across academia, government, and industry. Currently a postdoctoral fellow in Biostatistics and Computational Biology at NIEHS, he holds a PhD in Statistics from Texas A&M and a Masters in Management Science and Engineering from Stanford, bringing strong mathematical rigor to practical problems. His background includes building decision algorithms and simulation models for distribution operations, revenue forecasting research, and delivering actionable analytics for business problems like warranty abuse and advertising ROI. Comfortable coding in Java, R, and Python, he bridges modeling and implementation to turn complex models into deployable insights. Based in Matthews, NC, he combines academic depth with industry-facing analytics experience that repeatedly reduces costs and improves operational performance.
10 years of coding experience
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Texas A&M UniversityBS, Mathematics, Mathematical Decision Sciences, BS, Mathematics, Mathematical Decision Sciences at UNC Chapel HillMasters, Science - Management Science and Engineering; Operations Research, Masters, Science - Management Science and Engineering; Operations Research at Stanford University
English, RussianProgramming languages (1)
Github contributions (5)
katzfuss-group/GPvecchia-Laplace
Mar 2018 - Jun 2020
Contributions:55 commits, 5 pushes in 2 years 3 months
NIEHS/RGCA
Jul 2023 - Aug 2024
Reflected Generalized Concentration Addition approach for prediction of combined chemical mixtures responses. See `citation` for appropriate citation in using this package.
Contributions:60 pushes, 3 branches, 13 comments in 1 year
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