Levi Wood
Associate Professor
Dr. Wood completed his graduate training at the Massachusetts Institute of Technology. While there he worked under the guidance of Drs. H. Harry Asada and Roger Kamm to develop and use microfluidics to identify mechanisms governing vascular geometry.
During his postdoc, Dr. Wood worked under Dr. Kevin Haigis (Beth Israel Deaconess Medical Center and Harvard Medical School) and Dr. Douglas Lauffenburger (Massachusetts Institute of Technology) to use systems biology to identify novel signaling mechanisms driving neuronal death in Alzheimer's disease and epithelial cell death during intestinal inflammation.
404-385-4465
Office Location:
Petit Biotechnology Building, Office 3303
University, College, and School/Department
Additional Research:
Our research focuses on applying systems analysis approaches and engineering tools to identify novel clinical therapeutic targets for complex diseases. It is challenging to develop new treatments for these diseases, such as Alzheimer's disease(AD) and Traumatic Brain Injury (TBI), because they do not have a single genetic cause and they simultaneously present broad physiologic changes. By combining novel engineeredin vitroplatforms, mouse models, and multivariate computational systems analysis, we will be able to 1) capture a holistic systems-level understanding of complex diseases, and 2) isolate specific mechanisms driving disease. The ultimate goal of our laboratory is to use these tools to identify new mechanisms driving disease onset and progression that will translate to effective therapeutic strategies.
Our research focuses on applying systems analysis approaches and engineering tools to identify novel clinical therapeutic targets for complex diseases. It is challenging to develop new treatments for these diseases, such as Alzheimer's disease(AD) and Traumatic Brain Injury (TBI), because they do not have a single genetic cause and they simultaneously present broad physiologic changes. By combining novel engineeredin vitroplatforms, mouse models, and multivariate computational systems analysis, we will be able to 1) capture a holistic systems-level understanding of complex diseases, and 2) isolate specific mechanisms driving disease. The ultimate goal of our laboratory is to use these tools to identify new mechanisms driving disease onset and progression that will translate to effective therapeutic strategies.
IRI Connections:
IRI And Role
