My research seeks to uncover the principles that govern how neural circuits, both biological and artificial, represent and transform information.
A central focus of my group is the geometry of neural population activity, or “neural manifolds,” which...
My laboratory is interested in the role of spatial organization in host-microbe interactions in the mammalian gut. We develop, extend, and utilize image-based approaches to spatial genomics, including a massively multiplexed single-molecule RNA imaging...
I lead an interdisciplinary research group with interests encompassing computational biology, imaging, and brain science. A core aim of our group is the development of computational methods for biomedical image analysis, with domains ranging from...
The Farnung Lab is interested in molecular mechanisms at the interface of transcription and chromatin.
We employ biochemical, biophysical, machine learning, and structural biology approaches to understand how the transcription machinery, histone...
My lab designs new protein tools, artificial enzymes, and biomedicines to sense and re-direct cell signaling responses.
Molecular recognitions, such as receptor-ligand binding, enzyme-substrate recognition, or metabolite-protein interaction, are...
Our DNA represents the full...
The overarching goal of my lab is to develop novel statistical methods that combine theory and computation to extract useful information from biological information and provide tools for the whole research community.
One million human genomes, will it...
My research areas are theoretical neuroscience and theory of neural computation in natural and artificial systems. We pursue various research directions in theoretical neuroscience and neuroscience-guided machine learning, including theories of population...
Our proteome is shaped by transcription/translation, as much as by protein degradation. The latter, sometimes even leading to...