Bradley Wallet Email & Phone Number

Norman, Ok, Us

Driving innovation in ocean-based carbon sequestration through the development and implementation of cutting-edge strategies to address climate change. As the founder of IOD, I lead the company’s mission to harness the potential of Ocean Iron Fertilization (OIF) and other transformative solutions to combat anthropogenic climate impacts.Key Responsibilities & Achievements:Designing and executing simulation-based research and controlled experiments, with a particular emphasis on Southern Ocean dynamics and High-Nutrient, Low-Chlorophyll (HNLC) zones.Integrating geophysical, oceanographic, and ecological data to enhance understanding of ocean systems and the role of the biological pump in global carbon cycles.Developing and scaling advanced ocean simulation platforms to validate and refine OIF methodologies under controlled conditions.Collaborating with leading scientists, institutions, and policymakers to align research outcomes with international climate goals and regulatory frameworks.Utilizing cutting-edge machine learning and data science techniques to analyze large-scale environmental datasets and predict the long-term impacts of OIF.Advocating for sustainable, science-backed geoengineering approaches to mitigate the impacts of anthropogenic climate change.

Leading Rho Earth's mission to harness advanced data science and geophysical modeling for tackling climate and environmental challenges. As the founder and president, I oversee strategic initiatives that integrate innovative machine learning and statistical techniques with Earth system sciences to develop transformative solutions for carbon management and climate resilience.Key Responsibilities & Achievements:Driving research efforts focused on predictive modeling and simulation to improve understanding of Earth's systems and support sustainable decision-making.Designing and implementing data-driven approaches to address carbon sequestration, extreme weather prediction, and environmental risk mitigation.Collaborating with multidisciplinary teams and stakeholders to align cutting-edge science with real-world applications.Establishing Rho Earth as a thought leader in climate-focused geophysical research, leveraging decades of experience in machine learning and Earth system modeling.Rho Earth embodies a commitment to innovation, sustainability, and actionable insights for a changing planet.

Leverkusen, North Rhine-Westphalia, De

Develops, maintains, and enhances the data pipeline supporting all of Bayer Crop Science in the Python and Go programming languages using Fast API to provide a REST API interface to a PostGreSQL data warehouse system. Evaluates and prioritizes software engineering tasks. Participates in scheduling of software development tasks. Engages with teams across the organization to understand requirements and use cases. Deploys software updates on a continuous basis to AWS and Google Cloud Platform using Kubernetes, Kafka, and Argo CD. Uses Aha and Github to manage the software engineering process.

Austin, Tx, Us

Developed high risk, high reward innovations for energy production and climate mitigation. Focused upon large scale earth models for carbon management. Developed technologies integrating solid earth geosciences, atmospheric sciences, and oceanography to mitigate and reverse climate change. Worked on applications of remote sensing, ocean current modeling, and emissions modeling including Scope 1, 2, and 3. Developed advanced prototypes in Julia and Python using AWS Sagemaker.

Dhahran, Sa

Aramco Research Center Geophysics Technology TeamDevelops new technology for application to the exploration and development of hydrocarbon assets in the Kingdom of Saudi Arabia. Researches the application of machine learning to seismic interpretation, reservoir modeling, and hyperspectral imaging. Areas of interest include deepwater turbidites, salt mapping, fracture corridors, and spectroscopy. Transitions new technologies to exploration and development teams including engineering production quality code. Publishes in peer reviewed journals, and represents Aramco at conferences and other industry events. Maintains communication with asset teams in Saudi Arabia to understand their needs and assist with the deployment of new technologies.

Us

Partner in a company providing innovative solutions for pre-stack and post-stack noise reduction.

Norman, Oklahoma, Us

Managed high performance computing resources for research and teaching exploration geophysics and geology. Taught graduate and undergraduate students courses on computational geophysics, seismic exploration, and seismic processing. Conducted research on the use of big data analytics for the exploration and development of hydrocarbon resources. Served on doctoral and masters committees. Mentored graduate students in the areas of seismic interpretation, seismic processing, and programming. Co-principal investigator for the Attribute Assisted Seismic Processing and Interpretation (AASPI) consortium.

Provided consulting services related to the interpretation of seismic data and the use of statistical techniques to predict and optimize reservoir development projects. Taught professional development courses for clients worldwide. Certified instructor for Schlumberger’s NExT programming teaching courses on seismic attributes and advanced seismic interpretation using Petrel.

Developed new technology for implementation in the Petrel software platform. Developed new algorithms and workflows for seismic attribute analysis and visualization. Prepared patent filings related to new technology developments and assesses patents filed by competitors. Implemented complex geophysical algorithms including seismic attributes and geobody interpretation in C++ and C# within a large-scale software engineering environment. Worked with portfolio to integrate business needs and available resources to develop feasible technology development plans. Performed joint research with the Earth Model Building technology group at WesternGeco related to automated interpretation of salt diapers using seismic attributes within a seismic processing framework. Certified NExT instruction teaching courses in applied seismic attribute analysis to internal and external classes.

Norman, Oklahoma, Us

Conducted research using seismic attributes for interpretation and processing of seismic data. Developed methods for interpreting fluvial deltaic systems using spectral decomposition methods. Studied low permeablity and unconvential reservoirs in the Fort Worth and Chicontepec Basins. Developed methods to automatically extract and classify parasequences from well logs of shale. Researched methods for calibrating seismic data with well logs and production data. Studied the application of high performance computing to seismic interpretation. Implemented algorithms as plug-ins for Petrel using C# and the Ocean development environment. Developed data integration methods involving geological, gravity, magnetic, and seismology data for lithospheric scale modeling and geophysical research. Spent a month as a visiting researcher at the Schlumberger Stavanger Research Center working with the Petrel geophysics group.

Montreal, Quebec, Ca

Worked as an analyst in support of Firefinder, an Army RADAR system that detects and tracks artillery shells in flight. Maintained an end-to-end simulation that is used for testing and analysis. Analyzed data from live fire testing and reports upon system performance and limitations. Developed methods to improve system performance in regards to improved discrimination and reduced false alarms.

Worked in an advanced research position for a commercial spin-off of the Duke University Department of Electrical Engineering. Transitioned and adapted basic research conducted at Duke for application to real world problems for government and industry customers. Conducted applied research in the areas of transductive and semi-supervised learning, active learning, multitask learning, reinforced learning, Dirichelet processes, partially observable Markov decisions processes (POMDP), and Variational Bayesian methods for density estimations. Prepared reports for and made presentations to government sponsors including the Air Force Research Laboratory, the Office of Naval Research, and DARPA.

Founded and operated a small business focused upon practical applications of computational statistics and advanced automated and assisted assessment of complicated data sets. Conducted research concerning advanced techniques for automatic target recognition using high range resolution RADAR for the Air Force Research Laboratory as a subcontractor for Mission Research Corporation. Studied the feasibility of using synthetic and cross-modality data for constructing classifiers. Developed technology for monitoring imported fire ants using high resolution remotely sensed imagery under a Small Business Innovative Research (SBIR) grant through the Department of Agriculture. Consulted related to microfinance and financial networks in Mozambique for various organizations including the United Nations. Generated approximately $300,000 of revenue in two years as a small business.

Lancaster, Pa, Us

Provided technical and program management leadership to an electromagnetics research group for a large defense contractor. Conducted research in the areas of automatic target recognition, machine learning, nonparametric density estimation, and statistical pattern recognition. Domain areas included SAR, high range resolution RADAR, and hyperspecteral imagery. Prepared proposals to Government sponsors and other customers. Interacted extensively with customers.

Oversaw the research efforts of a startup company that developed and marketed pattern recognition technology. Researched applications of pattern recognition to oil exploration, medical imaging, systems biology, speech recognition, music cataloging, and image cataloging. Interacted with portfolio companies and managed and conducted targeted research to address outstanding technical problems. Advised the CEO and EVP of Business Development concerning the technical viability of potential business ventures. Assessed technology of potential teaming partners and of competing organizations. Supervised the development of technology that led to the founding of three portfolio companies.

Washington, Dc, Us

Systems Research Department / Advanced Computation Division / Computational Statistics and Image Analysis GroupConducted basic and applied research in the area of computational statistics. Applied pattern recognition technologies to problems of interest to the Navy. Developed advanced methods for performing low level vision and automatic target recognition for satellite imagery and Unmanned Aerial Vehicle (UAV) video. Researched the application of learning algorithms to the real-time detection of intrusions of computer networks. Mentored and directed junior researchers and programmers. Attended conferences and published results in conference proceedings and journals. Interfaced with peers, sponsors, and potential sponsors.

Phd, Geophysics

Graduate Studies (Completed All Phd Requirements Except Dissertation), Computational Sciences And Informatics

Ms, Statistical Sciences

Bs, Mathematics

Master Of Science - Ms, Weather And Climate Risk & Data Analytics