Our research explores how we learn from our mistakes. As infants learning to walk, we take unsteady steps, fall, adjust, and eventually develop stable locomotion. This iterative cycle of action, error, and refinement continues throughout life, shaping our...
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...
In our lab, we focus on studying immune regulation through a biophysical lens. Our work is guided by fundamental principles of dynamical systems theory in reaction-diffusion systems.
This enables us to understand how different cell types interact and form...
Our lab focuses on the development of adaptive immune responses, protein evolution, and the
interactions between host and pathogen using a combination of biophysical, biochemical, and
molecular virology techniques.
We are primarily protein engineers and...
Our research group applies Positron Emission Tomography (PET), molecular imaging principles, and pharmacokinetic modeling methods to measure physiological parameters in vivo to better understand healthy brain function, aging, neuropsychiatric disorders...
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...
We develop and apply single molecule approaches to acquire quantitative understanding of biology and to find ways to improve human medicine.
The current directions of our research include investigations of G-quadruplex and R-loop mediated gene...
Taekjip Ha analyzes single molecules to understand how they act in complex biological systems.
Ha and his team combine sophisticated biophysical manipulation techniques with fluorescence imaging to visualize and manipulate protein, RNA, and DNA molecules...
My research is focused on developing model systems to gain fundamental insights in disease mechanisms within the heart and the brain.
Using induced pluripotent stem cells (iPSCs) and genome editing, we create human disease models caused by ion channels...
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...