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  1. AGU Members
  2. Bob M. Hazen
Member Since 1987
Bob M. Hazen
Staff Scientist, Carnegie Institution for Science
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Professional Experience
Carnegie Institution for Science
Senior Scientist
2012 - Present
Carnegie Institution for Science
Staff Scientist
1976 - Present
Education
Harvard University
Doctorate
1975
Bob's AGU Research
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Exploring the Effects of Contemporary Biotic Contamination on Detecting Agnostic Biosignatures
CONCEPTS FOR FUTURE PLANETARY SCIENCE MISSIONS II POSTER
planetary sciences | 19 december 2025
Intense Chemical Weathering of Large-Scale Silicic Volcanic Deposits as a Window into Early Martian Crustal Evolution
AT THE NEXUS OF PLANETARY GEOPHYSICS, GEOCHEMISTRY, AND GEOTHERMAL FLUX I ORAL
planetary sciences | 18 december 2025
Characterization of Earth’s Earliest Life: Deciphering Fragmental Biomolecular Fossil Remains Using Supervised Machine Learning
THE EMERGENCE OF LIFE AS A PLANETARY PROCESS II ORAL
planetary sciences | 16 december 2025
Unifying Pyrolysis-Gas Chromatography-Mass Spectrometry Data for Agnostic Biosignature Detection with Peak Alignment and Vector Embeddings
MACHINE LEARNING AND DATA SCIENCE METHODS FOR PLANETARY SCIENCE I POSTER
planetary sciences | 16 december 2025
Potential Extended Past Habitability of Mars from Recent Mineralogical Measurements in Gale crater
HABITABILITY ACROSS THE SOLAR SYSTEM AND EXOPLANETS I POSTER
planetary sciences | 15 december 2025
Machine Learning methods for molecular paleobiology: Characterizing Earth’s Earliest Life by building interpretable classifiers
THE EMERGENCE OF LIFE AS A PLANETARY PROCESS I POSTER
planetary sciences | 15 december 2025
Selective Funneling and State-Space Expansion: A Conceptual Framework for Novelty Generation and Origin Events
THE EMERGENCE OF LIFE AS A PLANETARY PROCESS I POSTER
planetary sciences | 15 december 2025
Detecting Biosignatures in Complex Molecular Mixtures From Pyrolysis‐Gas Chromatography‐Mass Spectrometry Data Using Machine Learning
JOURNAL OF GEOPHYSICAL RESEARCH: MACHINE LEARNING AND COMPUTATION
22 july 2025
Honors & Awards
Union Fellow
Received December 2019
Citation
For impactful, sustained and creative data science discoveries in mineral science and mineral evolution, and for launching a new era to study Earth's history.
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