Research Interests
This world is already an incredibly beautiful and lovely place to live (at least for me, for now). We are motivated by a desire to make it even better for all of us, as well as our descendants, and our fellow inhabitants. We do so via searching for patterns. Specifically, we seek patterns in our physical worlds (e.g., our bodies, our brains) as well as our mental worlds (e.g., our perceptions, experiences, memories, thoughts, emotions, psychiatric conditions). More importantly, we seek to understand patterns in our mental worlds in terms of our physical worlds. Our hope and belief is that via developing a deeper understanding of the links between these worlds, we will be able to bring them into greater alignment. A primary motivating factor is that all humans/animals have brains and therefore, such ideas could directly benefit all of animalkind. Thus, all of our research products are freely available to all.
Titles
- Associate Professor, Biomedical Engineering
- Associate Professor, Biostatistics
- Associate Professor, Applied Mathematics & Statistics
- Associate Professor, Neuroscience
- Associate Professor, Computer Science
Affiliated Centers & Institutes
Education
- PhD, Neuroscience, Johns Hopkins University, 2009
- MS, Applied Mathematics & Statistics, Johns Hopkins University, 2009
- BA, Biomedical Engineering, Washington University, 2002
Recent Highlights
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March 10, 2023Researchers have completed the most advanced brain map to date, that of an insect, a landmark achievement in neuroscience that brings scientists closer to true understanding of the mechanism of thought.
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December 8, 202041 multidisciplinary endeavors have been selected to receive support this year from Johns Hopkins University's Discovery Awards program. Eight of these endeavors include faculty from the Department of Biomedical Engineering.
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May 19, 2020Johns Hopkins researchers report they have identified a drug treatment that could—if given early enough—potentially reduce the risk of death from the most serious complication of COVID-19, also known as SARS-CoV-2 infection.