Although we represent other people in terms of both what they look like and how they behave, these two aspects of person knowledge have rarely been studied together. While vision scientists have focused on the processing of faces and bodies,…

With the advancement of technology, we are able to collect, store, and transmit an ever-increasing volume of data. However, our ability to extract useful patterns from this massive amount of data is still lagging behind. Machine learning and signal processing…

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…

My dissertation centers on the meaning of dreams as interpreted by literati in the late Ming (1368-1644), viewed through the lens of the 1636 encyclopedia Forest of Dreams. This thirty-four-juan tome is the largest extant Chinese dream encyclopedia and includes…

This dissertation, based on roughly eighteen months of fieldwork in two laboratories at Princeton University, examines how practitioners of synthetic biology orient themselves vis-à-vis organic systems, by both engaging with and displacing biological knowledge. It also explores experimental methods in…

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 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 dissertation examines the administration of Islamic family law in the British Straits Settlements and the Netherlands Indies through the lens of Arab merchants in colonial courts from 1860 till 1942. During this period, Arab communities tended to seek justice…