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Noah Dewar is listed as CTO of HighTide at HighTide Intelligence, based in Stanford, California, United States. AeroLeads shows a work email signal at stanford.edu and a matched LinkedIn profile for Noah Dewar.
Noah Dewar previously worked as Chief Technology Officer and Cofounder at Hightide Intelligence and Data Partner at Echelon. Noah Dewar holds Doctor Of Philosophy (Ph.D.), Environmental Geophysics from Stanford University.
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PhD from Stanford University, worked with airborne time domain EM methods and machine learning models such as long-short term memory and convolutional neural nets in combination with other geophysical data sources to study subsurface structures, groundwater flow and recharge related problems in the central valley of California with an aim to improve sustainable management practices and groundwater policy. CTO of HighTide intelligence where we aim to empower resilient living in coastal communities.
Listed skills include Geology, Microsoft Office, Structural Geology, Earth Science, and 19 others.
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Winter Haven, Fl, Us
Cofounder and chief of all things technical with a need for automation.Accelerating flood mitigation and adaptation. Certified B Corp harnessing the power of business for good.
Stanford, Ca, Us
Groundwater Architecture Project• As part the Stanford led Groundwater Architecture Project (GAP) [mapwater.stanford.edu], managed the acquisition of data for two basin-scale airborne electromagnetic (AEM) surveys in the Californian Central Valley and developed the optimal workflow for the use of AEM data in the construction of groundwater models to inform sustainable management in the Central Valley of California.• Wrote sections in the final GAP report pertaining to my doctoral research and worked as part of a committee to write the final GAP recommendations given to the California Department of Water Resources that will be used to guide the spending of $12 million on AEM projects in California under Proposition 68.• Developed novel methodologies allowing for the estimation of the depth to the water table from AEM data and the transformation of AEM derived subsurface resistivity into sediment type.Indonesian Peat Prize• Performed geophysical modeling demonstrating that the AEM method can map the thickness of tropical peat-lands as part of a joint proposal from Stanford and Duke University submitted to the Indonesian Peat Prize.• Presented the modeling results to a scientific panel and the media in Jakarta and was selected as one of the finalists for the $1 million cash prize.
Washington, Dc, Us
Awarded the Summer 2020 Schneider fellowship from the Haas Center for Public Service at Stanford University. • Developed an end-to-end machine learning workflow with Keras/Tensorflow and built the data pipelines required to construct, test, and optimize both recurrent convolutional neural nets and graph convolutional neural nets for the prediction of armed conflict in the global south.• Participated in policy meetings with stakeholders in the international development community and helped communicate technical results to non-experts at the meetings.• Created the processing pipelines necessary to build additional features for the conflict prediction model based on global economic, energy, and food indicators, as well as remotely sensed data sets.• For the specific case of predicting emerging conflict, improved the conflict prediction model’s F2 by 11% through the use of graph convolutional neural nets compared to the previously used random forest-based model.
Ottawa, On, Ca
Acted as a geophysical analyst and a field crew chief on aeromagnetic, radiometric and gravimetric surveys in Myanmar, Tunisia, Colombia, Canada and United States. Responsibilities included daily project operation, quality control of survey equipment, daily processing, quality control of acquired data, client liaison, and general project logistics.Provide training and expert problem solving advice to more junior analysts as well as more senior analysts with less experience with a given data type or problem.Preformed final data processing, analysis, and delivery of the following data types in the head office:Gravimetric data free - air correction, simple and complete bouguer correction, terrain correction, grid and line data filtering, density analysis, and final product production.Aeromagnetic data – editing, leveling, filtering, derivative calculations, horizontal gradient.Radiometric data – NASVD, stripping, cosmic, height, radon, Compton scattering, dead time corrections, and ratio calculations.Positional data – differential GPS calculations, datum shift, UTM conversion.Laser Scanner – generation of high resolution digital elevation models.
Toronto, Ontario, Ca
Collaborated in the field with a senior geophysicist in the acquisition and processing of 2D direct current induced polarization and magnetotelluric geophysical data.Prepared daily reports on the quality of the collected geophysical data and submitted them to the head office.Quality checked all the collected data and worked with the field crews to fix any problems in the data.Worked in the head office to help troubleshoot any problems with ongoing field projects.
Collaborated with a senior geologist in the mapping of the regional and structural geology as well as mineralogy of various properties licensed by Osisko.Prepared reports when needed on the mineralogy and geology of mapped regions.Took the lead role when needed in a team of two and helped direct the mapping and exploration of that team.
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Noah Dewar works for HighTide Intelligence.
Noah Dewar is listed as CTO of HighTide at HighTide Intelligence.
AeroLeads has found 1 work email signal at @stanford.edu for Noah Dewar at HighTide Intelligence.
Noah Dewar is based in Stanford, California, United States while working with HighTide Intelligence.
Noah Dewar has worked for Hightide Intelligence, Echelon, Omniscience Corporation, Dewar.Ai, and Stanford University.
You can use AeroLeads to view verified contact signals for Noah Dewar at HighTide Intelligence, including work email, phone, and LinkedIn data when available.
Noah Dewar holds Doctor Of Philosophy (Ph.D.), Environmental Geophysics from Stanford University.
Noah Dewar is listed with skills including Geology, Microsoft Office, Structural Geology, Earth Science, Geological Mapping, Data Analysis, Matlab, and Mineral Exploration.
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