MIT Geonumerics Researchers

Williams - Professor

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.

  • Phone: (+1 ) (61-7) 253-7201
  • Address: 77 Massachusetts Avenue, Room 1-250 Cambridge 02139-4307
  • Email:

Holmes - Dr

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.

  • Phone: (+61) (7-) 4781-6729
  • Address: Angus Smith Drive, Room DD015-128 Douglas 4814
  • Email:

Tilke - Dr

Peter Tilke

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.

  • Phone: (+1 ) (61-7) 768-2073
  • Address: Schlumberger-Doll Research, One Hampshire St. B224 Cambridge 02139
  • Email:

Leonardi - Dr

Christopher R. Leonardi

Postdoctoral Associate

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 engineering disciplines.

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.

  • Phone: (+1 ) (61-7) 452-3440
  • Address: 77 Massachusetts Avenue, Room 1-179 Cambridge 02139-4307
  • Email:

Cross-Disciplinary Approach

MIT Geonumerics is a cross-disciplinary collaboration between academics across departments from MIT, the Schlumberger-Doll Research Center and James Cook University. Departments include Earth, Atmosphere, and Planetary Science; Civil and Environmental Engineering; and Engineering Systems, Mathematical Modeling and Mechanical Engineering.

By using a cross-disciplinary approach to oil reservoir research it is our aim to develop a “Canonical Rock Model” which represents the true multi-physics nature of the problem within a single simulation framework.