Ron Weiss

TL;DR: The state of the emerging field of “multi-cellular engineered living systems,” which are composed of interacting cell populations, is summarized, focusing on current and potential applications, as well as barriers to future advances.

TL;DR: This work presents a platform that enables synthetic biologists to express desired behavior using a convenient high-level biologically-oriented programming language, Proto, and features biologically relevant compiler optimizations, providing an important foundation for the development of sophisticated biological systems.

TL;DR: This thesis presents genetic process engineering, a methodology for modifying the DNA encoding of existing genetic elements to achieve the desired input/output behavior for constructing reliable circuits of significant complexity, and develops BioSPICE, a prototype software tool for biocircuit design.

TL;DR: Experimental results demonstrate that the proposed method can disentangle speaker and noise attributes even if they are correlated in the training data, and can be used to consistently synthesize clean speech for all speakers.

TL;DR: This paper proposed a conditional generative model based on the variational autoencoder (VAE) framework, with two levels of hierarchical latent variables, a categorical variable representing attribute groups (e.g. clean/noisy) and a multivariate Gaussian variable, which characterizes specific attribute configurations and enables disentangling fine-grained control over these attributes.