Daniel Conn
Statistics Senior Manager
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolDaniel Conn is a Statistics Senior Manager at AbbVie with 11 years of experience applying advanced statistical and machine learning methods to clinical trials and high-dimensional biological data. Trained as a biostatistician with a PhD from UCLA and postdoctoral work at UW–Madison, he has developed tailored random-forest variants and clustering/dimension-reduction approaches for noisy, zero-inflated single-cell RNA-seq data and gene regulatory network inference. He combines hands-on programming in R, Python, SAS and C++ with practical delivery—automating visualizations and reports under tight deadlines for industry and academic projects. Based in Chicago, he bridges methodological innovation and regulatory-facing clinical trial oversight in neuroscience, bringing both deep theory (published methods and proofs from his PhD work) and pragmatic tooling to complex biomedical problems.
11 years of coding experience
2 years of employment as a software developer
Bachelor's Degree, Mathematics, Bachelor's Degree, Mathematics at Columbia University in the City of New YorkDoctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at University of California, Los Angeles
Github Skills (1)
renv7
Programming languages (1)
Github contributions (5)
daniel-conn17/fuzzyforest
Dec 2014 - Nov 2019
Contributions:175 commits, 49 pushes, 1 branch in 4 years 11 months
OHDSI/FuzzyForests
Apr 2015 - May 2015
Contributions:10 pushes, 1 comment in 1 month
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