I apply biophysics, chemistry, and immunology to understand and devise better ways to deliver drugs, proteins, and nucleic acids to treat cancer and infectious diseases.
I investigate the causes of variations in clinical outcomes, using computational methods. My goal is to determine the optimal dosage, timing, and duration of therapeutic regimens. Ultimately, I want to develop precise, personalized treatments.
I focus on the use of models to describe drug disposition and effect in patient populations, and the use of these models to make predictions to improve drug therapy.
I am interested in the structure, function, and evolution of proteins and their assemblies. As Associate Dean of Research, I advise the dean and School leaders on research issues and opportunities and represent the School to campus research decision makers and on research-related campus committees.
I am a bioengineer working on medical device development to address clinical needs by leveraging my background in MEMS (microelectromechanical systems) along with advances in biomaterials, electronics, and nanotechnology to advance health world-wide.
My research seeks to understand the contribution of genetic variation to drug toxicity, to identify genetic biomarkers that can be used to guide effective use of drugs in the treatment of cancer and HIV, and to use genetics to unravel the molecular basis of drug-induced toxicity.
My research seeks to invent approaches to engineer new biological functions at multiple scales, ranging from atomic details to macromolecular machines to cellular processes. By building new functions through a combination of computational design and experimental engineering, I also hope to learn how molecular design principles shape systems-level properties and, ultimately, organismal fitness.
My research focuses on computational methods for improving drug discovery. I was formally trained as a computer scientist and made a transition from applied defense research to the biomedical arena in a series of Bay Area startups.
I am a theoretical systems pharmacologist who develops advanced simulation methods to improve multiscale mechanistic explanations of complex phenomena in the presence and absence of therapeutic interventions.
My research aims to improve the way we can “see” physiologic and metabolic activities in the body in real time, so that we can better understand normal physiology and clarify the underlying mechanisms of disease progression and response to therapy. To this end, I focus on developing novel strategies for obtaining and interpreting magnetic resonance data.
