This dissertation is a history of astronomy in three cultural locations in late Ottoman Egypt: the scholarly culture of Muslim ulama, the state institution of the Viceregal Observatory, and the Arabic press. Through an interwoven history of these cultures, the…

A goal of fisheries management is to predict the probability of successful
establishment of invasive fish species. To address this goal, species distribution models
are used to project species distribution under different climate-change scenarios. In this
study, the geographic distribution…

Protein domain prediction is a key step in characterizing protein structure, function, and evolution. However, the genome of Plasmodium falciparum, the causative agent of malignant malaria, remains poorly-annotated using standard approaches to domain prediction. We identified several general problems with…

The United States is struggling to provide health care in the face of ever increasing demand. As medical students continue their decades long march toward specialization, questions of how to provide generalist care become quickly intertwined with that of who…

In this thesis we develop and test methods for numerically evolving hydrodynamics coupled to the Einstein field equations, and then apply them to several problems in gravitational physics and astrophysics. The hydrodynamics scheme utilizes high-resolution shock-capturing techniques with flux corrections…

Single-particle reconstruction of vitrified samples (cryogenic electron microscopy, or









cryo-EM) provides structural information for a large variety of biological molecules,









ranging from…

Machine learning is the science of discovering knowledge from data and making decisions based on this learnt structure. It has grown into a broad discipline that has established many statistical and computational learning principles. We are surrounded by the applications…

The aim of this thesis is to develop methods for variable selection and statistical prediction for high dimensional statistical problems. Along with proposing new and innovative procedures, this thesis also focuses on the theoretical properties of the proposed methods and…

The goal of this project was two-fold: first, to improve the performance of machine learning
algorithms for the diagnosis of pediatric tuberculosis, and second, to use machine learning algorithms
to better understand the problem of diagnosis. We constructed and examined…

This paper discusses the motivation, design, implementation, and evaluation of a
new electronic beat sequencing system called HMM Beats. HMM Beats is inspired
by recent work in machine learning on user drum beat prediction. HMM Beats is
an interactive system…