Dr. Julian Bunn has been a researching in computing for High Energy (particle) Physics since 1985. He was born in England, and educated at the University of Manchester, where he obtained a B.Sc.(Hons) in Physics, and then at the University of Sheffield, where he obtained his Ph.D. in Experimental High Energy Physics. He was appointed as a Research Associate at the Max Planck Institute for High Energy Physics in Munich in 1983, and then as a Research Associate  at the Rutherford Appleton Laboratory in Oxford in 1984. He then became a staff member at the European Laboratory for Particle Physics (CERN) in Geneva in 1985. Since joining CERN, he has held several positions as Project Leader and Section Leader in the Information Technology Division. Recently, he was Instigator of, and Principal Investigator in the "GIOD" joint project between Caltech and CERN, funded by Hewlett-Packard. The project investigates use of Object Oriented software, commercial Object Databases and mass storage systems as solutions to the PetaByte storage needs of the next generation of high-energy physics experiments. To carry out this project, Dr. Bunn is on Special Leave of Absence from CERN, working at Caltech. He has collaborated closely with Caltech's Center for Advanced Computing Research (CACR). His work has involved the design and implemention scheme for populating an Object Database with ~1 TeraByte of physics data using SMP servers and clusters of NT workstations. He has developed C++ and Java/3D/JFC applications that run against the database (a featured application at the Fall '98 Internet-2 meeting), measured scalability and deployment issues, and evaluated the Object Database performance on the Exemplar system using distributed and numerous clients. Latterly, his work has involved modelling the system behaviour to produce scaling predictor algorithms, with special emphasis on the WAN aspects of the systems, and development of sophisticated event viewers based on Java 3D that interact with the Object Database to directly access and render the complex event structures.