CURRICULUM VITAE Name John SKILLING Date of birth 19 March 1945 Place of birth Haltwhistle, Northumberland, England Nationality British Marital status Married Education 1955-62 Whitley Bay Grammar School 1962-65 St John's College, Cambridge Natural Sciences (B.A.) 1965-66 St John's College, Cambridge Mathematics 1966-69 Radio Astronomy Group, Cavendish Laboratory, University of Cambridge 1969 M.A., Ph.D. (Cambridge) Career 1969-72 Research Fellow, St. John's College, Cambridge 1969-71 Postdoctoral Research Assistant, Plasma Physics Lab and Dept of Astrophysics, Princeton University 1971- F.R.A.S. (Fellow, Royal Astronomical Society) 1971-76 Assistant Lecturer in Mathematics, University of Cambridge 1972-92 Teaching Fellow in Mathematics, St John's College, Cambridge 1976-92 Lecturer in Mathematics, Dept of Applied Mathematics & Theoretical Physics University of Cambridge 1979 Visiting Lecturer in Physics, University College Cork 1979-81 Partner, Maximum Entropy Data Consultants 1989-90 President of The International Society For Entropy Research (incorporated in State of Wyoming, 1989) 1991-98 Director, MaxEnt Solutions Ltd. 1992-93 Senior Research Associate, Cavendish Laboratory University of Cambridge 1981- Research Director and Company Secretary, Maximum Entropy Data Consultants (MEDC) Ltd. Research activities Plasma astrophysics, specifically magnetohydrodynamics and cosmic ray propagation. Polyhedron theory: discoverer of the last uniform polyhedron (1975). Data analysis: fundamental theory; practical applications to (inter alia) optics, radio astronomy, X-ray astronomy, crystallography, magnetic resonance spectroscopy, magnetic resonance imaging, Raman spectroscopy, interferometry, medical tomography, chromatography, mass spectroscopy, pharmacokinetics, neutron scattering. Quantified Bayesian data analysis: development of maximum entropy and its successor method, Massive Inference (TM), as fully quantified probabilistic methods, with extensions and generalisations; numerical analysis applications such as integration, eigenstructure, interpolation, extrapolation, model-fitting, solving differential equations. Algorithm development, principally concerned with advancement of Bayesian techniques as practical tools for numerical estimation of systems with many degrees of freedom. Academic publications Astrophysics 17 papers Polyhedra 2 papers Bayesian data analysis 50 papers Academic work has been carried out until 1991 from the Department of Applied Mathematics & Theoretical Physics, University of Cambridge. Industrial experience MEDC Ltd is a small private company set up to advance and develop across a wide front the fundamental advances afforded by practical computer programs for maximum entropy data analysis. The company's two principals are Dr S.F. Gull and Dr J. Skilling. The company specialises in the mathematical formulation and solution of inverse problems and has extensive experience in the practical implementation of maximum entropy algorithms on a wide variety of computer systems. MEDC customers worldwide range from individual academic colleagues through substantial Government laboratories such as the Rutherford Lab, Harwell, and Culham, to major pharmaceutical, chemical and petroleum companies. MEDC has enabled its founders to work freely on foundational issues. johnsk/cv.txt