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Regularized predictive control framework for robust dynamic legged locomotion
(Massachusetts Institute of Technology, 2020)
Legged robots have the potential to be highly dynamic machines capable of outperforming humans and animals in executing locomotion tasks within dangerous and unstructured environments. Unfortunately, current control methods ...
Entrepreneurial organizations and human capital
(Massachusetts Institute of Technology, 2020)
This dissertation investigates how human capital shapes both the creation a nd performance of entrepreneurial organizations. In three essays, I study the intricate linkage between startups and the individuals that embody ...
Multiscale dissection of bacterial proteome optimization
(Massachusetts Institute of Technology, 2020)
The quantitative composition of proteomes results from biophysical and biochemical selective pressures acting under system-level resource allocation constraints. The nature and strength of these evolutionary driving forces ...
The role of XBP1s in the unfolded protein response and N-linked glycosylation
(Massachusetts Institute of Technology, 2020)
The secretory pathway processes approximately one-third of the cellular proteome, modifying proteins with diverse chemical structures such as carbohydrates. These modifications can help guide protein folding and expand the ...
Engineering physiologically relevant In vitro liver models for inflammation response and vascularized co-culture
(Massachusetts Institute of Technology, 2020)
In vitro human liver models are becoming increasingly crucial for disease modeling and drug development. Here we take a design principle-driven approach to engineering more physiologically relevant 3D liver models by ...
Essays on social insurance program design
(Massachusetts Institute of Technology, 2020)
This thesis studies the causal impacts of social insurance program design on household behavior and program-relevant outcomes. Each paper considers a major design feature of a large social insurance program - work requirements, ...
Representation and transfer learning using information-theoretic approximations
(Massachusetts Institute of Technology, 2020)
Learning informative and transferable feature representations is a key aspect of machine learning systems. Mutual information and Kullback-Leibler divergence are principled and very popular metrics to measure feature ...
Theory of phasor-field imaging
(Massachusetts Institute of Technology, 2020)
Phasor-field (P-field) imaging is a promising recent solution to the task of non-line-of-sight (NLoS) imaging, colloquially referred to as "seeing around corners". It consists of treating the oscillating envelope of ...
Topographic deep artificial neural network as a model of primate ventral visual stream
(Massachusetts Institute of Technology, 2020)
Face processing in visual cortex has been widely studied and emphasized for its importance in primate survival and social communication. Monkey inferior temporal (IT) cortex contains neurons that respond preferentially to ...
Large-scale high-density terahertz radiator and receiver Arrays on silicon chips
(Massachusetts Institute of Technology, 2020)
Electromagnetic (EM) waves in the terahertz (THz) frequency range (usually deαned as from 10⁻¹ THz to 10¹ THz) have important applications in gas sensing, non-invasive imaging, short-range ultra-high-data-rate wireline/wireless ...