Daniel Mcdonald
Professor at The University of British Columbia
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolDaniel Mcdonald is a Professor of Statistics and Machine Learning with nine years of academic experience and a career spanning top institutions including UBC, Indiana University, and a visiting appointment at Chicago Booth. He combines rigorous Ph.D.-level training from Carnegie Mellon with practical expertise in R, C++ and Python to tackle problems in algorithms, data analysis and applied machine learning. Known for translating complex theory into teachable and usable tools, he bridges research and classroom impact while advising students and collaborators. A classically trained cellist with dual undergraduate degrees in mathematics/economics and music, he brings a rare blend of analytical precision and creative perspective to interdisciplinary research and curriculum design.
9 years of coding experience
14 years of employment as a software developer
Bachelor of Science in Music and an Outside Field, Music Performance, Cello, Bachelor of Science in Music and an Outside Field, Music Performance, Cello at Indiana University BloomingtonDoctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at Carnegie Mellon University
Github Skills (89)
effort10
r-language10
signal-processing10
resampling10
forecasts10
frequency10
missing-data10
delphi10
bootstrapping10
predictive10
tidymodels10
dplyr9
tidy9
data-access9
tidyverse9
Programming languages (10)
Github contributions (5)
cmu-delphi/covidcast-pnas
Jun 2021 - Apr 2022
Source code for Delphi's PNAS papers on our COVIDcast effort.
Contributions:8 reviews, 105 commits, 10 PRs in 10 months
pascaleffortdelphicovidcast
UBC-STAT/stat-550
Jan 2023 - Apr 2024
Contributions:1 release, 2 PRs, 30 pushes in 1 year 2 months
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