This dissertation presents the applications of state-of-the-art computation techniques and data analysis algorithms in three physical and biological problems: assembling DNA pieces, optimizing self-assembly yield, and ...

The field of immunology has advanced tremendously over the last 40 years, with seminal findings that have guided the development of powerful new therapies. However, the ability to induce safe and long-lasting antigen-specific ...

The availability of large amounts of data generated by high-throughput computing and experimentation has generated interest in the application of machine learning techniques to materials science. Machine learning of materials ...

Cardiovascular stents are one of the most widely implanted medical devices, with over 1 million implanted each year in the United States alone. While stent failure modes of restenosis and thrombosis have been widely examined, ...

Metallic nanostructures that employ localized surface plasmon resonances to capture or radiate electromagnetic waves at optical frequencies are termed "plasmonic optical antennas". These structures enhance light-matter ...

Increasing demands for organ transplants and the depleting supply of available organs has heightened the need for alternatives to this growing problem. Tissue engineers strive to regenerate organs in the future; however ...

In this thesis, we investigate a special class of multi-agent systems, which we call reciprocal multi-agent (RMA) systems. The evolution of agents in a RMA system is governed by interactions between pairs of agents. Each ...