Daniel Goodman - Principal Member of Technical Staff

Daniel Goodman has worked on a range of projects before joining Oracle in 2014. His wider research interests are novel computation models and user friendly programming models.

Most recently he worked on the TeraFlux project, looking at programming models for combining dataflow and transactional Memory. Within this project he produced a suite of software transactional memories for Scala, Manchester University Transactions for Scala (MUTS) and a Scala based dataflow library, DFScala, supported by tooling for memory analysis and catergorisation of the resulting model.

He has also held positions as a senior researcher with Fujitsu Laboratories, and as a Research Associate and Junior Research Fellow at the Oxford e-Research Centre, Oxford University and Pembroke College, Oxford University respectively. During this he investigated tooling and programming models for high performance computing on machines ranging from small clusters, to clusters of GPGPU's, to Japan's next generation 10 PFlop super computer. In all cases this work was based on constructing tools and programming constructs/models that made high performance computing more accessible to application scientists in areas ranging from astronomy, to medical imagery, to simulating the visual cortex.

Daniel graduated from Oxford University in 2003 where I was awarded the Hoare Prize for the highest 1st in Computer Science that year. He then started a doctorate working with ClimatePrediction.net under the supervision of Dr Andrew Martin and Dr Raphael Hauser looking at techniques for the analysis of large quantities of distributed data in a Grid environment. This resulted in the development of the Martlet workflow language. Building on ideas from dataflow and functional programming Martlet abstracts from the user the distribution and partitioning of large data sets, allowing them to construct functions that would automatically adjust to the changing environment without the user having to be aware of the underlying topology. This work was well received with best student paper at UK e-Science AHM 2006 a nomination for best student paper at WWW2007 and the awarding of his doctorate in 2007.