Develop physics-based simulation models within a commercial TCAD solver (GTS Framework) with a focus on emerging memory technologies such as phase-change memory (PCM), ferroelectric-based memories (FRAM, FeFETs, FeRAMs) and spintronic memories (MRAM) for path-finding, design and reliability studies.

Developed TCAD simulation models of ferroelectric films to explore the potential of ferroelectric-driven devices, such as FeRAMs, FeFETs and negative-capacitance FETs for future technology.

Conducted modeling studies into the feasibility of quantum-well solar cell technology for consumer solar panels in partnership with the start-up company QUANT Energy

Working with the start-up company Global TCAD Solutions, developed high-performance TCAD models based on quantum transport formalisms for the purposes of modeling carrier transport in nano-structures.

Investigated the potential of nanoengineering to enhance silicon's potential as a thermoelectric material for waste heat reclamation and renewable energy harvesting using simulation-based approaches of coupled quantum transport and semi-classical heating models.

TAed courses including: Graduate Computational Physics, Upper Year Quantum Mechanics, Upper Year Analytical Mechanics, Intermediate Statistical Physics and Thermodynamics.

Developed internationally competitive numerical codes, extensively utilizing parallel and high-performance computing techniques, to explore the quantum behaviour of two- and one-dimensional systems. All codes, based on entirely original source code, represent extremely specialized applications of computational linear algebra and distributed computing.

Coded a variety of different Monte-Carlo programs, including parallel codes, to calculate the specific heats and residual entropies of the spin ices dysprosium and holonium titanate at low temperatures. Codes utilized cutting-edge techniques in Monte-Carlo to successfully address the mathematical problem at hand.

Developed code to algorithmically generate community college level math problems with accompanying step-by-step solutions (including thorough didactic explanation) for use with an on-line educational suite designed to reinforce the understanding of the textbooks of a prominent textbook publisher. Was the most productive developer, amongst a group of 13 others. Made extensive use of Maple. Utilized a pedagogical and academic writing style. Performed part-time editorial reviews of authored content.

Successfully applied physics and computational techniques, learned on-the-fly, to attack key problems in medical physics. Developed algorithms and scripts in MATLAB to synthesize real-time MRI data for use with image registration algorithm comparisons. Utilized the VTK (Visualization Toolkit) in Python to develop 2D → 3D navigation software for use with a catheter mounted ablative device for treatment of atherosclerosis.

Conducted independent research into different aspects of radiation therapy, accelerator physics and dose delivering; including an extensive investigation into 'Multi-Leaf Collimator' movement behaviour which could allow for improved treatment quality in dose dynamic therapy. Developed five programs designed for professional use (in VB .NET). Three of the programs required the determination of analytical equations through intensive analysis of large amounts of data. Worked independently and creatively to generate experiments in order to determine desired quantities and tendencies in radiation and machine behaviour. Worked cooperatively with two other co-op students for a number of projects. Received recommendations from all three of the head physicists whom I worked under.