Interests lie at the nexus of physics, biology, and biotechnology. His research is concerned with developing new approaches to biological measurement and applying these approaches to problems of both fundamental and medical interest. Areas of interest include genomic diagnostics, systems biology, microbial ecology, and single cell genomics. Read more about the Quake Lab.
Our group uses statistical and computational methods to study questions in genomics and evolutionary biology. Much of our work focuses on questions relating to genetic variation and evolution. An important part of our work is in developing appropriate statistical and computational approaches that can yield new insights into biological data.
My lab’s research uses neuroimaging to understand how neural systems give rise to complex cognitive functions and how these systems break down in neuropsychiatric disorders. We use machine learning techniques to decode behavior from neuroimaging data and to characterize the multidimensional structure of neural representations. We are also heavily involved in the development of neuroinformatics tools, including ontologies of mental function (through the Cognitive Atlas project), data sharing (through the OpenFMRI and Neurovault projects), and automated meta-analysis (through the Neurosynth project).
Research concerns health policy, clinical policy, and the development of analytic methods for evaluating policy questions. Particular interest in technology assessment and the application of decision theory to clinical/health policy problems. Special interest in questions related to disease caused by the human immunodeficiency virus (HIV) and cardiovascular disease.