faculty holding bone for osteoporosis research

Research

Convergent research with collaboration across government, industry, and academia

Faculty conduct research as part of the College of Engineering’s multidisciplinary research centers and institutes, such as the Institute for the Chemical Imaging of Living Systems, and the Institute for Mechanobiology, and within their laboratories. 

The department’s research areas of focus include Biomechanics and Mechanobiology; Biomedical Devices and Bioimaging; Molecular, Cell, and Tissue Engineering; and Systems, Synthetic, and Computational Bioengineering.

View faculty profiles for laboratory research as well as our recent Annual Reports.

Research at a Glance


Quick Facts

$36M

external research awards (2021-2023)

18

young investigator awards

13

professional society fellowships

46

Full-time faculty


External Research Funding Examples

  • Paul G. Allen Frontiers Group
  • National Institutes of Health
  • National Science Foundation
  • National Cancer Institute
  • National Institute of Arthritis and Musculoskeletal and Skin Diseases
  • American Heart Association
  • National Institute of Neurological Disorders and Stroke
  • The Department of Homeland Security

Latest News

Cell Nuclear Force Probe Reveals Mechanomemory That May Impact Cell Memory and Health

BioE Professor Ning Wang published research in Cell Reports that demonstrates a process of mechanomemory, or response long after applied force has ceased, within a cell’s nucleus. This discovery prompts a prolonged period of activation of a protein complex responsible for gene expression, which can lead to making new proteins and potentially healthier cells.

Lei Wang

Developing Methods to Control Cell-State Transitions

BioE/COS Assistant Professor Lei Wang’s research on “Sensing and Guiding Cell-state Transitions by Using Genetically Encoded Endoribonuclease-mediated MicroRNA Sensors” was published in Nature Biomedical Engineering.

New AI Architecture Can Detect Breast Cancer With a Near-Perfect Accuracy Rate

BioE Assistant Research Professor Saeed Amal and his research team have developed a new AI architecture that has detected breast cancer with a 99.7% accuracy rate. His research was published in the journal Cancers. He has submitted an invention disclosure with the Center for Research Innovation on the idea. 

Patent for Single-Molecule Protein Analysis

COS/BioE Professor Meni Wanunu received a patent to create a “Method and system for linearization and translocation of single protein molecules through nanopores.”