I am a freelance data scientist and consultant specializing in machine, learning, geospatial analytics, and remote sensing. I have experience in the software engineering and data science domains coupled with a PhD in Astrophysics, a BS in Physics, and a BA in Accounting. My background provides me with a strong foundation in physics, computational modeling, and data analysis, which I apply to solve complex geospatial and environmental challenges.I have 14 years of experience in leading and collaborating on cutting-edge research projects ranging from astrophysics to remote sensing, using Python, Julia, Matlab, and various data science and machine learning frameworks. I have published multiple papers in prestigious academic journals and have led large international teams in 3 different countries. I am also passionate about scientific outreach and community engagement and have co-founded several organizations and initiatives to promote science outreach, advocacy, and climate initiatives.In my current work, I leverage satellite imagery, remote sensing data, ML, and advanced analytics to deliver actionable insights for the environmental and sustainability industries. I excel at working with large, complex datasets and applying scientific principles to real-world problems. My clients benefit from my ability to think critically, model complex systems, and communicate technical results in a clear, impactful way. Please reach out for more information or to discuss opportunities. I am particularly interested in working with nonprofits, public good companies, and contracts related to climate solutions.
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Senior Research ScientistCeresVancouver, Bc, Ca -
Data Science ConsultingFreelance Nov 2024 - PresentVancouver, British Columbia, CanadaProvide expert consulting services in data science, geospatial data analysis, remote sensing, and physics-informed modeling to clients across industries such as agriculture, environmental monitoring, and sustainability.Develop custom solutions using Python, including: • Satellite imagery analysis • ML models • Geospatial data visualization and mapping • Environmental and land-use monitoring leveraging remote sensing technologies.Collaborate with cross-functional teams to translate scientific insights into actionable strategies, delivering measurable results.Apply advanced knowledge from a PhD in Astrophysics to solve complex problems, integrating principles of physics with modern data science techniques.Publish technical reports and presentations that effectively communicate complex findings to both technical and non-technical stakeholders.Open to new clients, please reach out if interested.
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Software Engineer - Remote SensingEarthdaily Analytics Feb 2022 - Nov 2024Vancouver, British Columbia, Canada> Promoted from Intermediate Software Engineer II to Intermediate Software Engineer III after less than 18 months for rapid development of high-caliber algorithms and end-to-end development of multiple products.> Led the development of proprietary algorithms for atmospheric retrieval and correction of Earth Observation data with the EarthDaily satellite constellation. Led the development of emissivity separation algorithms and land surface temperature generation. Built and streamlined software packages that deliver multiple products for studying surface-level ground reflectance and atmospheric composition. > Spearheaded the creation of dashboards and visualization tools for data pipelines. Utilized JupyterLab notebooks and open-source dashboarding tools to generate actionable visual checks of the data calibration workflow. Contributed to data ingestion framework and created preprocessing software.> Programmed in Python through an agile CI/CD environment, and wrote extensive code, algorithms, tests, and documentation. Used AWS and maintained code on GitLab. Very team-focused environment with the utilization of Confluence, Jira, and Scrum ceremonies.>Utilized Python, machine learning, classification, regression, numpy, scipy, scikit-learn, deep learning, image processing, rasterio, GDAL, QGIS, data visualization, exploratory analysis, multiprocessing, and statistical analysis. -
Research Scientist - AstrophysicistNational Radio Astronomy Observatory Aug 2020 - Sep 2021Charlottesville, Virginia, United States> Highly competitive, $190k USD grant for independent research in radio astronomy (Jansky Fellowship). Research areas included star formation, planet formation, circumstellar disk evolution, and the radio emission of evolved stars. The primary theme of my work was to better understand the early stages of planet formation and place our Earth and Solar System into a larger context of how planets are born. > Calibrated large radio astronomy datasets, performed statistical analysis, and developed custom Bayesian model fitting algorithms. Utilized Python, Julia, Unix, Matlab, IDL, numpy, scipy, scikit-learn, deep learning, machine learning, image processing, Fourier analysis, time series, linear regression, and data visualization. > Led large international research teams, managed interns, led and co-led 6 projects resulting in 5 academic papers, and presented results at 5 international conferences. -
Research Scientist - AstrophysicistKonkoly Observatory Jun 2018 - Jun 2020Budapest, Hungary> Astrophysicist at the Konkoly Observatory (a division of the Hungarian Academy of Sciences) funded by the European Research Council. The research primarily dealt with circumstellar disks of dust and gas around planet-forming stars, the radio atmospheres of stars, and the space weather around small stars.> Calibrated large radio astronomy datasets, performed statistical analysis, and developed custom Bayesian model fitting algorithms. Utilized Python, Julia, Unix, Matlab, IDL, numpy, scipy, scikit-learn, deep learning, machine learning, image processing, Fourier analysis, time series, linear regression, and data visualization. > Led and co-led multiple projects with large international teams that resulted in 7 publications, 10 conference presentations, and 9 accepted telescope proposals.
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Graduate Research AssistantThe University Of British Columbia Sep 2014 - Jun 2018Vancouver, Canada Area> PhD student working on circumstellar disks, planet formation, stellar emission, and radio astronomy. Dissertation entitled "Characterizing Debris Discs in the Late Stages of Planet Formation".> Led multiple projects with international teams that resulted in 5 publications, 14 conference presentations, and 12 accepted proposals.> Developed Bayesian statistical model fitting techniques, worked with large complex datasets, and developed extensive data analysis programs. Utilized Python, Julia, Unix, Matlab, numpy, scipy, machine learning, image processing, Fourier analysis, time series, linear regression, and data visualization. -
Graduate Teaching AssistantThe University Of British Columbia Sep 2014 - May 2018Vancouver, Canada Area> Graduate teaching assistant for lab and lecture components of undergraduate level astronomy courses for 8 semesters.> Taught total 8 courses and instructed over 1000 students. Designed and co-wrote new Astronomy 101 labs and coursework to utilize new teaching methods.
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Head Teaching AssistantThe University Of British Columbia Aug 2015 - Dec 2017Vancouver, Canada AreaHead teaching assistant for Astronomy 101 for the Fall semester in 2015, 2016, and 2017. Managed 3 teams of 6 teaching assistants.
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Research AssistantThe University Of Texas At Dallas Sep 2011 - Aug 2014Dallas/Fort Worth AreaUndergraduate researcher. I held one position in a lab building organics solar cells and another position studying the dynamics of galaxy cluster mergers.
Jacob White, Phd Education Details
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Astronomy And Astrophysics
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Accounting
Frequently Asked Questions about Jacob White, Phd
What company does Jacob White, Phd work for?
Jacob White, Phd works for Ceres
What is Jacob White, Phd's role at the current company?
Jacob White, Phd's current role is Senior Research Scientist.
What schools did Jacob White, Phd attend?
Jacob White, Phd attended The University Of British Columbia, The University Of Texas At Dallas, Texas Tech University.
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