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Work Experience
Software Engineer
Intel Corporation• December 2019 - Present
Using C++17, designed, developed, and maintained custom EDA tools for users in design and manufacturing divisions, capable of efficiently manipulating billions of polygons. Also heavily involved in the design of database schemas and APIs to store sampled patterns from all incoming chip layouts, incorporating SQL queries via Python and C++ bindings. Responsible for bringing up automated tool postprocessing and data analysis flow based on Python to improve development turn around time and identify tool weaknesses.
Postdoctoral Researcher
Rice University• November 2016 - December 2019
Used coarse-grained simulations in GROMACS to build up a polymer configuration library and backmapping protocol to help train an LSTM model to infer excitation energies of organic semiconducting polymers with > 90% accuracy based on backbone dihedrals. Further characterized polymer configurations in Python using statistical and order parameter methods, identifying novel interfacial behavior in solution.
Graduate Researcher
University of Illinois• August 2010 - November 2016
Developed an efficient, highly parallel numerical simulation platform using C++ and MPI to perform numerical calculations of chemical reaction rates on HPC platforms. This work combined open source molecular dynamics code from LAMMPS with path integral-based quantum simulation code developed based on our group's research into efficient algorithms for these chemical problems.
Education
University of Illinois
Chemical Physics, PhD• August 2010 - June 2016
My PhD research focused on developing distributed, high-performance numerical software to conduct cutting edge simulations of chemical reactions using recently-developed algorithms from my research group. This work incorporated both molecular dynamics simulations (using LAMMPS) and custom quantum mechanical code derived from our in-house path integral approach.
University of North Carolina
Chemistry, BS• August 2006 - May 2010
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