Richard Gildea
About Richard Gildea
Richard Gildea is a Data Analysis Scientist with extensive experience in computational biology and software development. He has worked at various institutions including Durham University and Lawrence Berkeley National Laboratory, contributing to significant advancements in X-ray diffraction data processing.
Work at Diamond Light Source
Richard Gildea currently serves as a Data Analysis Scientist at Diamond Light Source, a position he has held since 2016. In this role, he focuses on data analysis related to X-ray diffraction. His work involves the development and application of software tools that enhance the processing of complex data sets. Previously, he worked as a Postdoctoral Research Associate at Diamond Light Source from 2013 to 2015, where he contributed to various research projects.
Education and Expertise
Richard Gildea studied at the University of Durham, where he earned a Master of Chemistry (MChem) from 2003 to 2007 and later completed his PhD in Chemistry from 2007 to 2011. His academic background provides a strong foundation in chemical analysis and data interpretation. He also attended John Cleveland College from 1999 to 2003, furthering his education prior to university.
Background in Research and Development
Richard Gildea has a diverse background in research and development, having worked at Lawrence Berkeley National Laboratory in various roles. He served as a Computational Biologist Postdoctoral Fellow for a total of 14 months in 2011 and 2012, focusing on computational methods in biological research. Additionally, he worked as a Software Developer for 8 months in 2012, contributing to software solutions in a scientific context.
Contributions to Software Development
Richard Gildea has made significant contributions to the development of software for processing X-ray diffraction data. He played a key role in the creation of DIALS and xia2 software, which are widely used in the field. He also developed xia2.multiplex, a program designed for symmetry analysis, scaling, and merging of multi-crystal data sets. His work has advanced the capabilities of data analysis in crystallography.