Core Faculty

Bioelectronics, protein engineering, metabolic engineering, microbial communities, cell-material interfaces, synthetic biology, biophysics

Use of synthetic biology and metabolic engineering to address important problems in sustainable energy, the environment, industry and human health

Biophysics, cell engineering, protein interactions, phase separation in cells

Bacterial persistence, host-pathogen interactions, network biology of bacterial stress

Herding cells for pleasure and non-profit; Tissue engineering with bioelectric ‘sheepdogs’; Cellular crowd dynamics in healing and tissue growth; Living swarm biomechanics and biophysics; 3D biomaterials mimicking cells; Waterbears and extreme biology

Microscopy and bioimaging; bioelectronics, flexible electronics, and nanotechnology; cell and developmental biology; tissue engineering; neuroscience

Understanding and engineering of biomolecular condensates; multiscale computer simulations; biophysics; protein self-assembly

Developing molecular and optical approaches to study the function and molecular organization of neurons in the brain

Understanding and controlling complex cell behaviors
Associated Faculty
Defining and engineering plant-microbe and microbe-microbe interactions at plant-microbe interfaces
The cell biology of tissue polarity and epithelial patterning
Nonlinear optics and photonics for biomedical imaging
Theoretical and computational materials science; physics of materials; physical biology; microstructure formation
Waste treatment systems; environmental remediation; biogeochemically mediated dynamics
Biogenesis, function and engineering of the eukaryotic CO2-fixing organelle, the pyrenoid
Chemical biology approaches to investigate RNA dynamics and post-transcriptional regulation
Design and mechanics of metamaterials with unusual material properties; Mechanics in morphogenesis during embryo development
Our lab seeks to understand how patterns of neural activity generate animal behavior.
How noncoding regions of the genome function to control the differential patterns of gene expression, both spatial and temporal, that define cell behavior
Protein engineering, peptides, natural products, antibiotics, microbiology, genomics, and supramolecular chemistry
How the brain converts sensory stimuli into meaningful representations, and how these representations drive behavioral responses
CRISPR-based technologies for studying viral and cellular RNA
Molecular architecture and function of the microtubule cytoskeleton
Applying statistics, machine learning and efficient algorithms to biology and medicine with integrative analysis of multi-dimensional data
Polymeric formulations for drug encapsulation, delivery, and release
Developing and applying computational and mathematical methods to address biological questions at the molecular and cellular level
Integrated circuits and chip-scale systems operating across RF-THz-optical frequencies in low-cost, smart biomedical devices for point-of-care use
Using techniques from machine learning and social computing to extract brain structure from light and electron microscopic images
Quantitative analysis of pattern formation in developing tissues; genetics, genomics and computational studies of signaling pathways
Computational biology and bioinformatics; computational science
Animal coloration and patterning, avian color vision, evolution of eggs
Theory, simulation and experiments in surface tension, buoyancy, fluid rotation and surfactants; flow of lipids and motions of suspended particles
Micronanofabricated technologies for electronics, displays, and bio-interfacing devices.
Genomic data integration; bioinformatics, algorithms and machine learning.
Machine learning and reinforcement learning, with applications in healthcare, drug discovery, intelligent systems
Machine learning, computational and structural biology, 3D computer vision, biological imaging