Zhang Meng
Biostatistician II
Nashua, New Hampshire, United States
Summary
👤
Senior🎓
Top SchoolZhang Meng is a Biostatistician II with 14 years of cross-disciplinary experience blending theoretical statistics, biostatistics practice, and regulated manufacturing quality. Based in Nashua, NH, she has led study design, data analysis, and report writing in academic and industry settings while supporting GMP quality assurance and Lean/Six Sigma initiatives that delivered measurable cost savings. Her technical toolkit spans SAS, Python, C++, and hands-on code modifications in legacy scientific models—evidenced by contributions to the DSSAT cropping system where she improved soil and runoff modules in FORTRAN. She pairs critical thinking and clear communication with a knack for process digitization and automation identified during energy-sector internships. Holding advanced training from Stevens Institute and UMass Amherst in pharmaceutical manufacturing and biostatistics, she is comfortable at the intersection of analytics, regulatory compliance, and production-scale improvements. Colleagues rely on her ability to translate complex statistical results into actionable insights across diverse organizational backgrounds.
14 years of coding experience
3 years of employment as a software developer
Master's degree, Biostatistics, Master's degree, Biostatistics at UMass Amherst School of Public Health & Health SciencesMaster of Engineering, Pharmaceutical Manufacturing and Engineering, 3.8/4, Master of Engineering, Pharmaceutical Manufacturing and Engineering, 3.8/4 at Stevens Institute of Technology
English, Chinese
Github Skills (2)
fortran10
numerical-methods9
Programming languages (7)
Github contributions (5)
DSSAT/dssat-csm-os
Jun 2021 - Jan 2022
DSSAT Cropping System Model
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits, 5 PRs, 1 comment in 7 months
Contributions summary:Zhang primarily contributed to the DSSAT cropping system model by implementing and refining features related to plastic mulch. Their work involved modifying FORTRAN code, specifically in modules related to soil dynamics, soil evaporation, and runoff calculations. The contributions included integrating the plastic mulch functionality, correcting runoff calculation imbalances, and revising the code to meet compiler standards. These changes aimed to enhance the model's accuracy and capabilities.
crop-simulation-modelscrop-modelagriculture-researchdssatcropping
agmip/survey-divider
Aug 2017 - Jan 2022
Contributions:1 PR, 2 pushes, 3 branches in 4 years 5 months
memorysplitfile-inputin-ordersurvey
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