Investigated computational methods for predicting melting points. Initially implemented the phase-coexistence method, then transitioned to the interface-pinning method after evaluating the two approaches - still in progress, but much faster and theoretically just as accurate.

Continued developing and maintaining the simulation software. Applied density functional theory (DFT) and convex-hull analysis to compounds with limited experimental data, generating computational estimates of material properties, including density, which would later help the company for R&D.

Optimized several methods, reducing runtime by up to 50% for certain models. Redesigned data handling to partition workloads between memory and storage, shifting the primary bottleneck away from RAM and enabling simulations with orders of magnitude more steps.

Joined the team and trained on the company's proprietary neutron transport simulation software, workflows and their objectives for production.

Improved the pipeline's robustness across additional structures and edge cases while preparing the project and accompanying manuscript for publication.

Implemented Kruskal's algorithm and evaluated Christofides and 2-opt approaches as alternative graph-based strategies within the lattice-reconstruction pipeline.

Expanded the algorithm to support wireframe DNA origami structures and added configuration options that give designers greater control over structure processing and output.

Developed mathematical methods for calculating angles between helices. Evaluated Prim's algorithm alongside multiple optimization strategies and loss functions to improve lattice reconstruction.

Began experiments to infer lattice positions from relaxed DNA origami structures, extending the project beyond helix detection toward full lattice reconstruction.

Refined and validated the helix-detection algorithm for use in researchers' relaxation, simulation, and structure-clustering workflows.

Began development on a JS-based project to convert oxDNA file formats to sCADnano for software interoperability. It will also help me reduce computation on my Evolutionary Model projects.

Spent the month reading research papers and began leveraging ASU's Sol Supercomputer (HPC) for parallelized tasks.

Completed the first functional iteration of the Evolutionary Model and began the tuning phase. Here I reviewed lots of literature to improve physical feasibility of the model.

Began development of the Evolutionary Model (EM) for optimizing DNA origami design paths.

Expanded role to include Rutherford Backscattering Spectrometry (RBS) data analysis, contributing to deeper scientific research.

Maintained and managed the code, updating it to handle more complex files.

Applied the code to thousands of data files, saving over a hundred hours for my entire team.

Refined the processing and optimized the code to apply to a wider range.

Created and automated the code for data processing and cleaning.

Inventoried the flight samples, along with other samples used for related research.