Saul Newman
PhD
Research Fellow
Based at the Demographic Science Unit and Leverhulme Centre for Demographic Science, Saul is an interdisciplinary scholar with a doctorate from the John Curtin School of Medical Research at the Australian National University, a previous position as a plant scientist with the Australian government and the ANU Research School of Biology, and a general interest in aging, machines, biology, and death.
Saul is currently open to new positions in a broad range of fields outside demography. Recent and upcoming publications span several fields including genomics, remote sensing, demography, statistics, and interpretable machine learning.
Saul’s current interests involve the mortality patterns of complex systems, human aging, and the statistics of survival processes.
Recent publications
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Publisher Correction: Offshoring emissions through used vehicle exports
Journal article
Newman SJ. et al, (2024), Nature Climate Change
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Offshoring emissions through used vehicle exports
Journal article
Newman SJ. et al, (2024), Nature Climate Change
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High-Throughput Plot-Level Quantitative Phenotyping Using Convolutional Neural Networks on Very High-Resolution Satellite Images
Journal article
Victor B. et al, (2024), Remote Sensing, 16
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Early-life physical performance predicts the aging and death of elite athletes.
Journal article
Newman SJ., (2023), Sci Adv, 9
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Author Correction: A multiple species, continent-wide, million-phenotype agronomic plant dataset.
Journal article
Newman SJ. and Furbank RT., (2022), Sci Data, 9