Biological systems comprise diverse collections of cellular and non-cellular components with intricate relationships and dynamic interactions. To gain system-level understanding, we must be able to accurately model these systems, both experimentally and computationally. Agent-based models (ABMs) in particular are a uniquely intuitive, modular, and flexible framework capable of supporting multi-scale,...
In this dissertation I examine issues related to uncertainty and robustness in game theory. In Chapter 1 a strategic setting is analyzed where players face Knightian uncertainty about the strategic choices of their opponents. That is, in contrast to the usual Bayesian framework and in line with experimental evidence, players...
The ever growing desire for accurate estimation and efficient learning necessitates the efforts to quantitatively characterize uncertainties for models. In this thesis, four problems pertaining to uncertainty quantification are discussed: A sequential stopping framework of constructing fixed-precision confidence regions is proposed for a class of multivariate simulation problems where variance...
As conventional electronic materials approach the device scaling limits, new types of materials and structures have been examined for potential use in future electronic and optoelectronic applications including transistors, light emitting diodes, and solar cells. In recent years, atomically thin or two-dimensional (2D) transition metal dichalcogenide (TMD) materials have emerged...
Periodic exposure to light and dark as a result of rotation of the Earth have served as a major evolutionary pressure to partition divergent biological processes to different phases of the day. Mammals display periods of activity/inactivity, wake/sleep, and feeding/fasting during distinct portions of the day. In mammals, these activities...
Technological innovation is a key determinant of economic growth, and my dissertation is to understand the links between the investment of technological innovation and financial markets, with a focus on how the macroeconomic environment interacts with and is influenced by the financial constraints facing firms. Chapter one investigates the links...
Brain network organization, the emergence of cognition, and the accumulation of neurodegenerative pathology are interwoven concepts frequently studied under the umbrella of behavioral neurology, neuropsychiatry, neuropsychology, and neuropathology. One approach to studying the organization of cognitive processes is to study those with selective deficits in such networks. To understand how...
This dissertation is composed by three chapters. Chapter one is about productivity hysterisis in the U.S. after the Great Recession. The United States has been experiencing a slowdown in productivity growth for more than a decade. I exploit geographic variation across U.S. Metropolitan Statistical Areas (MSAs) to investigate the link...
Humans are prodigious learners. One of our most powerful learning tools is the ability to detect and transfer relational similarities between items and events, despite their perceptual differences. Previous research has found that the roots of this ability extend into infancy. As early as three months of age, infants can...
Single-molecule localization microscopy (SMLM) has significantly stimulated the development of methods to quantitatively visualize and characterize biomolecules in vitro and in situ. SMLM is a class of super-resolution microscopy (SRM) techniques, which exploits the “on-off” switching of individual fluorescent molecules to estimate their location with nanometer precision and offers spatial...