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Patrick Young
Principal Research Scientist at DigitalGlobe
Professional Background
Patrick Young is a distinguished software developer and applied mathematician based in the United States. With a passion for solving complex problems, Patrick masterfully integrates the fields of mathematics and computer science, specifically focusing on innovative geospatial image processing and computer vision. His dedication to these fields has allowed him to make significant strides in developing high-performance, cloud-based applications capable of handling immense datasets, often reaching petabytes of imagery.
Currently, Patrick serves as a Principal Research Scientist at DigitalGlobe, where he spearheads projects that deploy advanced algorithms for the processing and analysis of geospatial data. His prior role as a Geospatial Scientist at GeoEye further honed his expertise in the intricacies of image processing and the application of mathematical models for practical industry use. Additionally, Patrick's entrepreneurial spirit led him to co-found The Randonnee Shop, where he gained valuable insights into running a business alongside his technical endeavors.
Patrick’s work reflects a deep understanding of full-stack research and development. He excels from algorithm design and prototyping to the final deployment of applications in production environments. This comprehensive skill set showcases his ability to navigate the workflow inherent in software development, ensuring that his solutions are not only theoretically sound but also practically applicable in real-world scenarios.
Education and Achievements
Patrick’s academic journey began with a Bachelor of Science (BS) degree in Mathematics and Physics from Linfield College, where he laid the foundation for his analytical and quantitative thinking. Following his undergraduate studies, he pursued a Doctor of Philosophy (Ph.D.) in Applied Mathematics at the prestigious University of Colorado Boulder. His graduate studies focused on the numerical solution to integral equations and partial differential equations—a testament to his technical proficiency and commitment to advancing mathematical concepts within practical realms.
Patrick has cultivated a diverse technical skill set, fluently programming in several languages including Python, Go, and C++. He is particularly adept at using frameworks and libraries such as NumPy, Cython, SciPy, Apache Spark, Pandas, GDAL, Scikit-image, and OpenCV, enabling him to tackle complex image processing tasks effectively. His proficiency extends beyond coding; Patrick is well-versed in utilizing cloud infrastructure services like AWS and has experience with High-Performance Computing (HPC) environments.
Patrick enjoys experimenting with various programming languages, which not only enhances his versatility as a developer but also inspires innovative approaches to problem-solving. His unique blend of applied mathematics and software engineering provides a refreshing perspective on the ongoing challenges faced by industries today, particularly in fields reliant on data-driven decision-making and visualization.
Notable Achievements
- High-Performance Applications: Patrick has excelled in developing applications capable of processing vast imaging datasets, optimizing efficiency in data handling and analysis.
- Research and Development: As a leading figure in R&D, he has driven projects that bridge theoretical mathematics and practical applications, leading to advancements in geospatial imagery that have transformed industry approaches.
- Industry Impact: Through his roles at both DigitalGlobe and GeoEye, Patrick has made substantial contributions that enhance the accessibility and usability of geospatial information, proving invaluable for clients across various sectors, from environmental science to urban planning.
- Entrepreneurial Experience: Co-founding The Randonnee Shop has enriched Patrick’s experience by integrating entrepreneurial insights with technical prowess, showcasing his ability to adapt and innovate in diverse environments.
In summary, Patrick Young represents a notable fusion of applied mathematics and software development, driving change and innovation in geospatial image processing and computer vision. His impressive educational background, combined with extensive experience in research and development, positions him as a key player in advancing the capabilities of data processing and analysis in the digital age.
