Biological Modeling and Signal Processing
Credit: Peter Allen

Biological Modeling & Signal Processing research topics include: neuroengineering to map and modify neural signaling; quantitative mechanobiology to reveal how physical forces and changes in the mechanics of cells and their environment drives cell signaling and responses; biological dynamics to describe and understand time varying biological systems; and the development of enabling methods such as quantitative image processing, machine learning and signal processing algorithms.

Affiliated Researchers

Assistant Professor of Biological Engineering
Engineering Cellular Signals for Regenerative Medicine
Assistant Professor of Biological Engineering and of Chemical Engineering
The goal of our lab is to develop novel single-cell sequencing technologies to understand how variability in the epigenome regulates gene expression heterogeneity and cell fate decisions.
Professor, Physics
Research interests of our group are primarily experimental, and span both equilibrium and non-equilibrium phenomena.
Professor of Biological Engineering and of Chemistry and Biochemistry

Developing and employing protocols for correlative light and electron cryogenic microscopy and in situ cellular tomography

Assistant Professor of Biological Engineering and Chemical Engineering
Our research focuses on engineering genetic reporters for imaging what we think of as the "dark matter" of biology - living systems that cannot be readily imaged using existing reporter gene techniques.
Vice Chair, Biological Engineering
Professor of Biological Engineering and of Chemical Engineering
Scholle Chair in Chemical Engineering
Genetic engineering and synthetic biology of non-model microorganisms.
Professor of Biological Engineering, and of Chemistry & Biochemistry, and Biomolecular Science and Engineering
In-vivo molecular measurements, anyone?
Chair, Biological Engineering
Professor of Biological Engineering, and of Mechanical Engineering and Biomolecular Science and Engineering
Director, NSF Research Training Program in Data Driven Biology
Director, NIH T32 Training Program in Quantitative Mechanobiology
The Pruitt Lab studies how mechanics mediates biological signaling using microtechnologies for cellular mechanobiology and mechanical measurements.
Professor
Materials
Saleh's research is focused on the molecular physics underlying biological systems, with particular experience in nucleic acids, protein/DNA interactions, biomolecular elasticity, and self-assembled biomolecular systems.
Associate Professor of Electrical & Computer Engineering
Director, Dynamical Neuroscience Program
Co-Director, Brain Initiative
We're generally interested in how the brain works, at the level of neurons and synapses.
Assistant Professor of Biological Engineering and of Mechanical Engineering
Engineering biomaterials to probe questions in mechanobiology.
Associate Professor of Physics and of Biomolecular Science and Engineering
We use ideas and concepts from physics, computer science, and mathematics to ask how embryos get in shape, and how organs function.
Associate Professor of Biological Engineering, and of Electrical and Computer Engineering
Media Arts and Technology Graduate Program
Mechanical Engineering
Haptics, Robotics, Tactile Sensing, Soft Electronics, Soft Robotics, Bioinspired Systems, Computational Acoustics
Assistant Professor Molecular, Cellular, and Developmental Biology
We use photo-switchable proteins from plants to understand and control complex cellular behaviors.
Assistant Professor
Mechanical Engineering
How does life perform computation?