About

Samuel Bowman is a faculty member at NYU, serving as the lead PI of the CILVR (Computational Intelligence, Learning, Vision, and Robotics) Lab. His research focuses on AI, machine learning, and their applications, particularly in areas such as computer perception, natural language understanding, robotics, and healthcare. Bowman is involved in empirical alignment and controllability questions involving large language models, contributing to the understanding and development of AI systems that are aligned with human values and intentions. His work is part of a broader effort within the lab to advance AI research and address critical challenges in the field.

Research topics

• Computer Science
• Political Science
• Machine Learning
• Natural Language Processing
• Psychology
• Artificial Intelligence
• Geochemistry
• Law
• Data science
• Ecology
• Environmental science
• Biology
• Environmental chemistry
• Engineering
• Chemistry
• Cognitive psychology
• Geology

Selected publications

• Experimental study on the effect of clay mineralogy on H2 adsorption: Implications for underground hydrogen storage

  International Journal of Hydrogen Energy · 2026-03-18

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• Theoretical investigation on the suitability of Fe (II)-rich sandstone for underground hydrogen storage

  International Journal of Hydrogen Energy · 2025-11-01

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• High-Resolution Permeability Characterization of the Lockport Dolomite Using Minipermeameter Measurements

  Abstracts with programs - Geological Society of America · 2025-01-01

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• Reactive Transport and Péclet Number Analysis of Hydrogen Flux Pathways in Uniform Clay Matrix: Implications for Underground Storage

  Transport in Porous Media · 2025-07-03 · 2 citations

  article1st authorCorresponding
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• Modeling Impacts of Fe Activity and H2 Partial Pressure on Hydrogen Storage in Shallow Subsurface Reservoirs

  Aquatic Geochemistry · 2024-05-23 · 6 citations

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• Contribution of Microorganisms with the Clade II Nitrous Oxide Reductase to Suppression of Surface Emissions of Nitrous Oxide

  Environmental Science & Technology · 2024-04-12 · 6 citations

  articleOpen access

  The sources and sinks of nitrous oxide, as control emissions to the atmosphere, are generally poorly constrained for most environmental systems. Initial depth-resolved analysis of nitrous oxide flux from observation wells and the proximal surface within a nitrate contaminated aquifer system revealed high subsurface production but little escape from the surface. To better understand the environmental controls of production and emission at this site, we used a combination of isotopic, geochemical, and molecular analyses to show that chemodenitrification and bacterial denitrification are major sources of nitrous oxide in this subsurface, where low DO, low pH, and high nitrate are correlated with significant nitrous oxide production. Depth-resolved metagenomes showed that consumption of nitrous oxide near the surface was correlated with an enrichment of Clade II nitrous oxide reducers, consistent with a growing appreciation of their importance in controlling release of nitrous oxide to the atmosphere. Our work also provides evidence for the reduction of nitrous oxide at a pH of 4, well below the generally accepted limit of pH 5.

  PublisherOA PDFDOI

• Can pyrite dissolution produce H₂ under natural storage conditions: insights from high P, T experiments

  2024-01-01

  articleOpen access
  PublisherOA PDFDOI

• Many-shot Jailbreaking

  2024-01-01 · 7 citations

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• FLUID-ROCK AND FLUID-STEEL INTERACTION IN GEOTHERMAL ENERGY DEVELOPMENT IN THE APPALACHAIN BASIN

  2024-01-01

  dissertationOpen access1st authorCorresponding

  The ever-increasing demand for clean energy requires creative solutions. In the United States, unconventional energy sources such as geothermal are conventionally limited to the western half of the country. The Appalachian Basin in the Eastern United States is one such possible creative solution, although the comparatively low temperature gradient presents a significant challenge to delivering economically feasible geothermal energy. An emerging technology is enhanced geothermal systems, these are engineered reservoirs where a working fluid (typically water) is cycled between the subsurface energy source and the energy collection facility at the surface. The liquid water interacts with the geothermal reservoir rock via dissolution and precipitation reactions. As the water is returned to the surface, it is contained and handled using a network of steel pipes where it may induce corrosion through through fluid-steel interactions. These reactions and products occurring both in the reservoir and at the surface are governed many variables, but pH and Eh are particulary important. This dissertation combines geochemical fluid-rock interaction computational modeling with fluid-steel interaction experimental data to improve the collective understanding required for assessing the suitability of geothermal energy development in the largely unexplored Appalachian Basin.

  PublisherOA PDFDOI

• Characterizing steel corrosional features in atomic force microscopy: A Sobel edge detection approach

  Materials Today Communications · 2024-02-20 · 8 citations

  articleOpen access1st authorCorresponding
  PublisherOA PDFDOI

Frequent coauthors

• Scott D. Wankel

  28 shared

• Cynthia N. McClain

  Alberta Environment and Protected Areas

  28 shared

• Isabella Hrabě de Angelis

  Max Planck Institute for Chemistry

  28 shared

• Olukayode Kuloyo

  Shell (United States)

  27 shared

• Alan Seltzer

  Woods Hole Oceanographic Institution

  27 shared

• Sara Cho

  University of Calgary

  27 shared

• Muhe Diao

  University of Calgary

  27 shared

• Marc Strous

  University of Calgary

  27 shared

Labs

• CILVR at NYUPI

  1-2 sentence research focus

Awards & honors

• New York Academy of Sciences inaugural Trailblazer Award (20…
• Queen Elizabeth Prize for Engineering (2025)
• Sloan Research Fellowship (2025)
• IEEE Early Academic Career Award in Robotics and Automation…
• ACM Fellow (2024)