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…

Over the past several decades, abundant research has investigated the onset of gender role development in early childhood, suggesting that children as young as 3 possess substantial awareness of gender stereotypes and, by age 5, strong beliefs about the need…

The analysis of noisy consensus dynamics in networks is of great interest to both
advance the fundamental understanding of multi-agent systems in nature as well as
create robust decentralized engineering systems. We develop a protocol that heuristically attempts to optimize…

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…

It is estimated that 450 million people worldwide suffer from mental and behavioral disorders.
As 75% of mental disorders onset prior to the age of 24, the college years are a particularly
critical window when mental health can be promoted…

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…