IDEAS/STAT Optimization Seminar
Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United StatesZoom link: https://upenn.zoom.us/j/98843354016
Zoom link: https://upenn.zoom.us/j/98843354016
Cells across tissues, developmental stages, and disease conditions adopt distinct intracellular states – epigenomic, transcriptomic, and proteomic profiles – to compartmentalize function in time and space. The ability to write […]
This will be a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. ABSTRACT Control tuning and adaptation present a significant challenge to the usage […]
Flow systems in nature, whether animate or inanimate, have evolved in time toward greater efficiency by adapting, or ‘morphing’, their configuration to decrease resistance to the currents flowing through them. […]
Algorithms are increasingly integrated into various societal applications, often directly interacting with people and communities. This highlights the importance of understanding the interplay between algorithmic decisions and economic incentives when […]
Abstract: Nature harnesses genetic sequences to encode structural information and emergent physical and chemical transformations required by life processes. Such orchestration is achieved through hierarchical self-assemblies driven by weak molecular […]
Deep learning's success stems from the ability of neural networks to automatically discover meaningful representations from raw data. In this talk, I will describe some recent insights into how optimization […]
Synthetic biology is driving a new era of medicine through the genetic programming of living cells. One particular focus has been the engineering of bacteria as therapeutic delivery systems for […]
Designing miniaturized robots and bioelectronic devices will enable access throughout the entire human body, leading to novel procedures at the cellular level and offering localized diagnosis and treatment with unprecedented […]
Conventional approaches to scientific discovery often prioritize building larger sensors, gathering more data, and scaling up computational power. In this talk, I will present a complementary perspective: extracting insights hidden […]