Pengfei Cheng
Director, Statistical Programming
California, United States
Summary
👤
Senior🎓
Top SchoolPengfei Cheng is a Director of Statistical Programming with more than 15 years of experience supporting clinical trials, including 12 years focused in oncology, and a proven track record leading SDTM/ADaM implementation, FDA/NDA deliverables, and large-scale data processing. He combines deep SAS expertise (Base, STAT, macros, PROC SQL/GRAPH, ODS) with advanced statistical methods—survival analysis, regression, ANOVA and multivariate techniques—applied to phases I–III studies and laboratory data. At BeiGene he progressed through senior leadership roles, shaping programming standards and submission-ready TLG generation for regulatory filings. Comfortable handling datasets with hundreds of millions of records on SAS/UNIX, he pairs hands-on technical execution with team leadership and cross-functional troubleshooting. With dual master’s degrees in Applied Statistics and Research Methodology, he brings rigorous quantitative training and practical submission experience to complex clinical programs.
8 years of coding experience
15 years of employment as a software developer
Master of Science (MS), Applied Statistics, Master of Science (MS), Applied Statistics at Syracuse UniversityMaster of Professional Study (MPS), Research Methodology and Quantitative Methods, Master of Professional Study (MPS), Research Methodology and Quantitative Methods at State University of New York College of Environmental Sciences and Forestry
Github Skills (2)
parser4
python3
Programming languages (3)
Github contributions (5)
Pengfei-Cheng/gams2pyomo
Jan 2023 - Feb 2023
Python based gams syntax parser for determining sets, variables, equations, and models from gams files.
Contributions:43 commits, 15 pushes, 2 branches in 1 month
equationspythonsyntax-parsergamsparser
Pengfei-Cheng/GT-FLECCS
Sep 2022 - Jul 2024
Contributions:18 pushes, 3 branches in 1 year 10 months
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