Robert Granat, Ph.D.
Ph.D. in machine learning with domain expertise in carbon measurement, Earth science, and remote sensing
Research Expertise
About
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Education
Ph.D., Electrical Engineering / June, 2004
M.S., Electrical Engineering / October, 1998
California Institute of Technology
B.S., Computation and Neural Systems / April, 1996
Experience
CarbonSpace Ltd
CTO / November, 2013 — Present
Machine Learning, Remote Sensing, Carbon Measurement, Atmospheric Science
Head of Science / April, 2023 — October, 2023
Machine Learning, Remote Sensing, Carbon Measurement, Atmospheric Science
Science Advisor / January, 2023 — March, 2023
Machine Learning, Remote Sensing, Carbon Measurement, Atmospheric Science
Research Foundation City University of New York
Senior Research Staff / January, 2020 — March, 2023
Dept. of Earth and Atmospheric Science (Machine Learning, GNSS, InSAR, Geophysics)
Jet Propulsion Laboratory
Science Team Algorithms Lead, OCO-2 Mission / March, 2013 — December, 2018
Project Management, Carbon Measurement, Uncertainty Quantification, Remote Sensing, Radiative Transfer
Group Supervisor, Machine Learning and Instrument Autonomy Group / April, 2008 — November, 2014
Line Management, Machine Learning, Remote Sensing, Earth Science
Senior Research Staff / May, 2000 — January, 2020
Machine Learning, Remote Sensing, Earth Science, Fault Tolerant Computing
Research Staff / April, 1996 — April, 2000
Scientific Modeling, Machine Learning, Supercomputing, Imaging Systems, Fault Tolerant Computing
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