John R. Williams
Professor of Information Engineering
Professor Williams holds a Ba. in physics from Oxford University, a M.Sc.
in physics from UCLA and a Ph.D. from Swansea University. His area of
specialty is large scale computer analysis applied to both physical
systems and to information.
Professor Williams is internationally recognized in the field of
computational algorithms for large-scale particle simulators and has
authored two books and over 100 publications. For the past eight years,
his research has focused on architecting of large scale distributed
simulation systems. He teaches graduate courses on Modern Software
Development and on Web System Architecting.
Presently Professor Williams is Director of MIT's Auto-ID Laboratory
and has strong involvement in the MIT Geonumerics group.
(+1 ) (61-7) 253-7201
77 Massachusetts Avenue, Room 1-250
David W. Holmes
Dr. Holmes holds a Ba. in Mechanical Engineering and Ph.D. in Computational
Mechanics from James Cook University. His area of specialty is the development
and implementation of numerical simulation algorithms.
Dr. Holmes is presently a Lecturer in Mechanical Engineering at the James Cook
University. His current research deals with the development of multi-phase,
multi-physics numerical simulation software for diverse energy and earth
science modeling. Development of technologies for scalable implementation of
such programs on high performance computing platforms like modern multi-core
architectures is also a key research focus.
(+61) (7-) 4781-6729
Angus Smith Drive, Room DD015-128
Visiting Scientist in the Earth Resources Lab
Dr. Peter Tilke holds a B.S. in Geology from UCLA, and a Ph.D. in Geology from
MIT. His areas of expertise are in computational geoscience for oil and gas
exploration and development.
Dr. Tilke is presently a Scientific Advisor in the Mathematics and Modeling
Department at Schlumberger-Doll Research in Cambridge MA, and a Visiting
Scientist in the Earth, Atmospheric and Planetary Sciences Department at MIT.
His current research spans a wide range of computational problems including
modeling and simulation of multi-phase porous media, automated design of
oilfield development plans, and the automated interpretation of seismic
and borehole imagery.
(+1 ) (61-7) 768-2073
Schlumberger-Doll Research, One Hampshire St. B224
Christopher R. Leonardi
Dr. Leonardi holds a Ba. in Mechanical Engineering from James Cook University
and a Ph.D. in Civil Engineering from Swansea University. His research interests
include computational modeling of fluid-structure interaction, simulation of
non-Newtonian flows, and characterization of the dynamic behavior of bulk
materials. Particular fields of expertise include the lattice Boltzmann method
(LBM) for fluid flows, the discrete element method (DEM) for discontinuous
systems, and the finite element method (FEM) for solid mechanics problems.
Outside of academic pursuits Dr. Leonardi has spent five years consulting to
industry in the Australasian region, applying both computational and analytical
techniques to solve problems in the mechanical, structural, and geotechnical
Dr. Leonardi has recently been appointed as a Postdoctoral Associate in the
Department of Civil and Environmental Engineering at MIT. Research effort in
this post will be targeted at the continued development of multi-physics
numerical simulation software for application to oil reservoir modeling.
(+1 ) (61-7) 452-3440
77 Massachusetts Avenue, Room 1-179