Nghia Vo
About Nghia Vo
Nghia Vo is an Algorithm Developer at Diamond Light Source in Didcot, Oxfordshire, United Kingdom, where he has worked since 2013. He holds doctorates in Physics and Philosophy from the National University of Singapore and specializes in developing image processing methods for X-ray tomography and phase-contrast imaging.
Work at Diamond Light Source
Nghia Vo has been employed at Diamond Light Source since 2013, serving as an Algorithm Developer. Located in Didcot, Oxfordshire, United Kingdom, he has dedicated 11 years to this role. His work primarily focuses on developing advanced image processing methods and image reconstruction techniques tailored for X-ray tomography and phase-contrast imaging.
Education and Expertise
Nghia Vo studied at the National University of Singapore, where he pursued a diverse academic path in Physics and Philosophy. He achieved Doctorates in these fields, specifically earning a Doctor of Philosophy. His educational background provides a strong foundation for his work in algorithm development and image processing.
Background
Nghia Vo has a strong interest in tackling complex and not well-defined problems within the realm of physics. His passion drives his contributions to the field, particularly in the areas of image processing and reconstruction. This focus aligns with his professional role and academic training.
Contributions to Open-Source Projects
Nghia Vo actively contributes to open-source software projects, including Algotom and Sarepy. These projects are centered on image processing and reconstruction, reflecting his commitment to advancing methodologies in these areas. His involvement in open-source initiatives demonstrates his dedication to collaborative development and knowledge sharing.
Sharing Solutions and Methodologies
In addition to his development work, Nghia Vo is committed to sharing solutions and methodologies related to image processing and reconstruction. His efforts in disseminating knowledge contribute to the broader scientific community, enhancing the understanding and application of advanced imaging techniques.