Abstract: Great advances have been made in encapsulation of (biological) analytes at extremely high throughput via techniques such as microfluidics and/or conjugation. In parallel, analytical techniques such as mass spectrometry […]
Precision engineering stands at the forefront of catalyzing transformative advancements in health and medicine. Among various precise techniques utilizing phototactic, electric, and magnetic mechanisms, acoustic devices have captured heightened attention […]
From language modeling to 3D vision, generative AI has revolutionized nearly every aspect of machine learning. In this talk, I will examine the limitations of the foundation behind many generative […]
ABSTRACT: From robotics to autonomous vehicles, machine learning agents deployed in the physical world (“physical agents”) promise to revolutionize endeavors ranging from manufacturing to agriculture to domestic labor. In this […]
This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. This week's speaker will be virtual. There will be an extended Q&A/discussion after […]
Abstract Neuroelectronic interfaces have enabled significant advances in both fundamental neuroscience research and the treatment of neurological disorders. However, current neuroelectronic devices have a clear trade-off between invasiveness and spatial […]
Traditional biomedical imaging techniques face throughput bottlenecks that limit our ability to study complex dynamic samples like cells, organoids, tissues, and organisms. In particular, hardware-only systems have inherent physical limitations […]
In this seminar, I explore the pivotal role of tissue stem cells and their microenvironment, known as the niche, in regeneration. With a focus on the endothelial cell niche, my […]
This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. ABSTRACT Magnetic fields offer the possibility of manipulating objects from a distance and are […]
Technology is dramatically driving down the cost of sequencing genetic data and increasing the quality of predictions made with this data. A standard concern is that these predictions could impair […]
Abstract: This thesis addresses the fundamental questions surrounding the design and functional capabilities of enzyme-powered micromotors synthesized using microfluidic techniques. The research focuses on the development of these motors, made […]
This presentation will explore the critical process of curating medical imaging data for AI algorithm development in ophthalmology, highlighting the challenges and current limitations in data curation. It will discuss […]