James is the founder of DPC and one of its Principal Consultants. He has an undergraduate degree in Materials Science from Imperial College, London, and a Masters Degree in Gas Turbine Engineering from Cranfield University (where he was supported with a Rolls Royce UTC Scholarship). He did his PhD at Cambridge in the Department of Materials Science. He is formerly the Co-ordinator of a Doctoral Training Centre in Computational Methods for Materials Science in the Department of Physics (Cavendish Laboratory), and a Senior Research fellow in the Department of Materials Science (both at the University of Cambridge). James has almost 10 years of consulting experience, including time spent at Frazer-Nash Consultancy where he supported projects in the aerospace and nuclear industries.

Principal Consultant

Dr. James Dean

Bill is a Professor of the Mechanics of Materials at the University of Cambridge, and a Principal Consultant at DPC. 

Principal Consultant

Professor Bill Clyne

Tome is currently completing his PhD in Scientific Computing at the University of Cambridge, where he specialises in solid mechanics and damage. His work has been focussed on the modelling of damage development and the numerical techniques for simulating fracture. He also holds a Masters in Advanced Studies (Physics) from the University of Cambridge, and an undergraduate degree in Physics from the University of Coimbra (Portugal).

Consultant and Operations Manager

Tome Gouveia

Maria is currently completing her PhD in Mechanical Engineering at Kingston University. She has experience with Finite Element Analysis, Image Based Modelling and Optimisation Techniques. Her research focuses on developing bone augmentation strategies for the prevention of osteoporotic fractures. She holds an undergraduate degree in Mechanical Engineering from Universidad de Las Palmas de Gran Canaria and an MSc in Mechatronic Systems from Kingston University.

Consultant

Maria Artiles

Andrew studied undergraduate and post-graduate degrees in Physics and scientific computing at the University of Warwick and the University of Cambridge, respectively. His interests focus on applying established methods from the machine learning community to costly scientific calculations. His PhD work involved writing snippets of high performance code, implementing powerful inference frameworks using third party graphical model libraries such as TENSORFLOW and manipulating large scientific codes. His interests also extend to probabilistic modelling and methods to approximate the posterior distribution -- a probabilistic interpretation of hidden latent variables which leads to knowledge of ``uncertainty’’ via moments of the posterior predictive distribution.

Consultant

Dr. Andrew Fowler

Ryo completed his PhD in Computational Physics at the University of Cambridge. He also holds undergraduate and postgraduate degrees in Mechanical Engineering, and Scientific Computing, from University College London and the University of Cambridge. He has worked on problems stemming from the aircraft, oil and gas, and telecommunications industries, utilizing computational fluid dynamics and reinforcement learning techniques. His work is predominantly computational, writing high performance code to be run on distributed cluster computers.

Consultant

Dr. Ryo Koblitz