Phillip Carleton
Instructor at Marche
Eugene, Oregon, United States
Summary
👤
Senior🎓
Top SchoolPhillip Carleton is an instructor and researcher specializing in decision support for transportation systems, with nine years of experience applying statistical modeling and optimization to improve performance and equity in transit and supply chains. He leads and teaches a broad suite of industrial engineering courses—from statistics and engineering economy to computational methods and algorithmic thinking—while directing projects on sustainable micromobility and transit ridership data standards like GTFS-ride. Phillip’s work blends rigorous quantitative methods with practical data-format development to help agencies make strategic, sustainable investments in transportation. Based in Eugene, Oregon, he pairs a Ph.D. in Industrial and Transportation Engineering with hands-on teaching and research leadership, and brings uncommon domain depth in both data standards and operational modeling.
9 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Industrial Engineering; Transportation Engineering, Doctor of Philosophy (Ph.D.), Industrial Engineering; Transportation Engineering at Oregon State UniversityMaster of Science (M.S.), Industrial and Systems Engineering, 3.86/4.00, Master of Science (M.S.), Industrial and Systems Engineering, 3.86/4.00 at University of Florida
English, Spanish
Github Skills (7)
public-transport10
ride10
public-transportation10
transit10
gtfs9
realtime1
system-information1
Programming languages (1)
Github contributions (5)
ODOT-PTS/GTFS-ride
Feb 2017 - Dec 2018
GTFS-ride is an open standard for storing and sharing fixed-route transit ridership data.
Contributions:77 commits, 10 PRs, 72 pushes in 1 year 10 months
transportationpublic-transportstoringsharinggtfs
carletop/IntroPythonProgramming
Jun 2024 - Jul 2024
Phillip Carleton fork for Summer '24 Ecampus ME 203
Contributions:5 pushes in 18 days
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