David Fallaize Email & Phone Number
Who is David Fallaize? Overview
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David Fallaize is listed as Software Engineer at Qubos Systematic, a with 11 employees, based in United Kingdom. AeroLeads shows a matched LinkedIn profile for David Fallaize.
David Fallaize previously worked as Manager of FPGA team (Low Latency Engineering) at G-Research and Manager of Tick Data team (Data Engineering) at G-Research. David Fallaize holds Doctor Of Philosophy (Ph.D.), Computational Biophysics from Ucl.
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About David Fallaize
David Fallaize is a Software Engineer at Qubos Systematic.
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David Fallaize work experience
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Manager Of Fpga Team (Low Latency Engineering)
Manager Of Tick Data Team (Data Engineering)
Tech Lead
Phd In Computational Biophysics
All life is based on the interactions between biological molecules (e.g. proteins, nucleic acids), which in human cells coexist in a complicated and crowded mixture. It is extremely difficult to directly measure the interactions between individual biomolecules in the lab because of the very small length-scale and short time-scale over which these processes occur. Computer simulations which model these interactions can improve our understanding and suggest avenues for further experiment. With increased knowledge of how biomolecules interact comes better understanding of what happens in illnesses where biomolecules misbehave, and ultimately leads to progress in medical science and the treatment of disease.In order to carry out large-scale simulations, we need to be able to calculate the electrostatic force between proteins (like that between a positive and negative charge). This can be found by solving the Poisson-Boltzmann Equation (PBE), but unfortunately the process is generally non-trivial.I have written a program which solves the linearised PBE using the "boundary element method" (BEM) with a linearly-scaling fast multipole method (FMM) . I improved and parallelised these highly complex algorithms, using a number of open source tools and libraries along the way (e.g. Boost, OpenCL, OpenMP). My PBE solver now runs on both desktop computers and HPC clusters, and uses GPUs to accelerate the near-field integration terms of the BEM.Our results of running my solver on proteins show that the stability and numerical accuracy of the combined BEM/FMM method is extremely sensitive to the choice of surface representation and integration method. I used a curved triangulated surface to improve numerical stability and accuracy, and conclude that it is practicable to use the total electrostatic solvation energy to drive a Monte-Carlo simulation of protein-protein interactions.
Analyst/Developer
Worked as part of the IT team on diverse projects including: website development and maintenance; database design; integration of our systems with those of our clients and partners; CMS/document management using VB/VBA; automatic document classification using latent semantic analysis.
Embedded Software Engineering
I worked as a Summer intern on firmware/USB driver for an embedded system (electronic roulette).
Software Development
As a Summer intern I implemented a test suite for the BGP network protocol (written in C).
David Fallaize education
Doctor Of Philosophy (Ph.D.), Computational Biophysics
Mres, Modelling Biological Complexity
Meng, Engineering
Frequently asked questions about David Fallaize
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What company does David Fallaize work for?
David Fallaize works for Qubos Systematic.
What is David Fallaize's role at Qubos Systematic?
David Fallaize is listed as Software Engineer at Qubos Systematic.
Where is David Fallaize based?
David Fallaize is based in United Kingdom while working with Qubos Systematic.
What companies has David Fallaize worked for?
David Fallaize has worked for Qubos Systematic, G-Research, University College London, Mintel, and Cambridge Logic Ltd.
How can I contact David Fallaize?
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What schools did David Fallaize attend?
David Fallaize holds Doctor Of Philosophy (Ph.D.), Computational Biophysics from Ucl.
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