Philip Brodrick
Data Scientist
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolPhilip Brodrick is a data scientist with nine years of experience applying physics, computational optimization, and machine learning to environmental challenges, particularly imaging spectroscopy for remote sensing. Based at JPL, he serves as acting Project Scientist for EMIT and Project Algorithm Scientist for SBG VSWIR, bridging mission-scale instrument knowledge with algorithm development. His background in energy-systems optimization and a PhD from Stanford gives him a rare blend of systems-level design thinking and hands-on data science for Earth observation. He has worked across airborne and orbital spectrometers and has translated field, satellite, and hyperspectral data into actionable environmental insights. Colleagues rely on him to connect rigorous modeling with operational mission needs, from power-plant optimization to forest and global-change assessments.
9 years of coding experience
9 years of employment as a software developer
Master's Degree, Renewable and Clean Energy Systems, Master's Degree, Renewable and Clean Energy Systems at University of DaytonDoctor of Philosophy (PhD), Energy Resources Engineering, Doctor of Philosophy (PhD), Energy Resources Engineering at Stanford University
Github Skills (43)
threejs10
web-application10
leaflet10
imaging10
earth10
jpl10
throughput10
mask10
planet10
emit10
spatial-data9
geospatial9
gdal9
geographical-information-system9
geolocation9
Programming languages (9)
Github contributions (5)
isofit/isofit
Mar 2020 - Jan 2023
Imaging Spectrometer Optimal FITting (ISOFIT) contains a set of routines and utilities for fitting surface, atmosphere and instrument models to imaging spectrometer data.
Contributions:31 releases, 95 reviews, 336 commits in 2 years 10 months
imaging
pgbrodrick/sRTMnet
Nov 2020 - Feb 2022
Surrogate Radiative Transfer Modeling Network
Contributions:1 review, 7 commits, 2 PRs in 1 year 2 months
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