Giles Hooker
Professor at University of Pennsylvania
Philadelphia, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolGiles Hooker is a statistician and data scientist with 18 years of academic leadership and methodological research spanning machine learning, dynamic systems, functional data analysis, robust statistics, and item response theory. Currently a Professor at the University of Pennsylvania, he has held senior roles at UC Berkeley and Cornell, directing both undergraduate and graduate programs and serving as deputy chair. His applied work crosses ecology, medicine, engineering and informatics, and he is active in public outreach to help journalists communicate uncertainty. A PhD from Stanford and a background in mathematics and political science underpin a practical bent: he routinely brings advanced statistical theory into real-world interdisciplinary problems. Colleagues know him for playing “in anyone’s backyard,” combining deep methodology with a knack for teaching statistical computing and machine learning.
18 years of coding experience
15 years of employment as a software developer
Australian National UniversityDoctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at Stanford University
English, French, Chinese
Github Skills (5)
r-package9
functional-data-analysis7
data-analysis4
cran2
r1
Programming languages (1)
Github contributions (5)
cran/CollocInfer
Apr 2010 - Nov 2016
Contributions:11 commits in 6 years 7 months
r-forge/fda
May 2008 - Sep 2013
Contributions:90 commits in 5 years 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.