Ed Boyden, PhD
Professor at Massachusetts Institute of Technology
2011 NYSCF – Robertson Neuroscience Investigator Alumnus
PhD, Stanford University
Postdoctoral Training, Stanford University
Bio
Dr. Boyden is a Professor in Neurotechnology at MIT and Associate Professor of Biological Engineering and Braina nd Cognitive Sciences at MIT’s Medial Lab and McGovern Institute. He leads the Synthetic Neurobiology Group, which develops tools for controlling and observing the dynamic circuits of the brain, and uses these neurotechnologies to enable systematic repair of intractable brain disorders such as epilepsy, Parkinson’s disease, post- traumatic stress disorder, and chronic pain. He completed his postdoctoral research at Stanford University.
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Mentioned In
- Dr. Ed Boyden Pioneers Method For 3D Printing Nanoscale Objects
- Four NYSCF Innovators Named 2018 Howard Hughes Medical Institute Investigators
- Three NYSCF Innovators Receive Prestigious Awards
- Dr. Ed Boyden Shares How To Map And Repair The Brain
- NYSCF Innovator Pioneers Method For Imaging Electrical Activity In Neurons
- Drumroll, Please! NYSCF Innovator Discovers That Neurons Fire in a Percussion-Like Pattern
- NYSCF-Supported Research Named Among Top Technical Advances of 2017
- NYSCF Innovator Develops Robotic System to Monitor Individual Neurons
- Utilizing Expansion Microscopy for Diagnosis
- Noninvasive Deep Brain Stimulation
- NYSCF Innovator Develops Mature, Diverse Brain "Organoids"
- NYSCF Innovator Improves Revolutionary Imaging Technique
- Visual Stimulation Treats Alzheimer's Plaques in Mice
- Steps Towards Engineering Biological Cascades
- Six NYSCF Innovators Named 2016 Faculty Scholars
- Expansion Microscopy: Latest Uses and Techniques
- NYSCF Investigator Understands Loneliness Under a Microscope
- Dr. Ed Boyden Awarded 2016 BBVA Foundation Award
- NYSCF - Robertson Investigator Receives Breakthrough Prize
- NYSCF - Robertson Investigator Creates New Technology to 3D Image Biological Samples
- NYSCF - Robertson Investigator Develops New Way to Image Electrophysiology of Cells