Skip to content Skip to navigation

Funded Research Projects

NeuroEngineering | Neuroscience:Translate
Lead Researcher(s): Dennis Wall, James Landay
System uses computer vision algorithms and emotion classifiers integrated into gameplay to detect emotion in the child’s face via the phone’s front camera to determine agreement with the displayed prompt, along with other features such as gaze, eye contact, and joint attention.
NeuroDiscovery | Postdoctoral Fellowship
Lead Researcher(s): Tal Iram
Dr. Iram will use brain intrinsic and systemic regulators of aging, in an attempt to accelerate maturation of human-derived brain organoids. This has the potential to produce the first ever aged human brain 3D cultures and identify factors which accelerate brain aging.
NeuroEngineering | Neuroscience:Translate
Developing a protein-engineered nerve implant that mimics the biochemical and mechanical cues of native tissue in order to enhance the potential for neural regeneration following injury.
NeuroDiscovery | Postdoctoral Fellowship
Lead Researcher(s): Miguel Garcia
Dr. Miguel Garcia believes that identifying the mechanism of myelin wrapping is important in understanding neural development and is a critical first step towards creating much needed therapeutic approaches to stimulate remyelination in patients with demyelinating diseases.
NeuroEngineering | Postdoctoral Fellowship
Lead Researcher(s): Dante Muratore
Dr. Dante Muratore's goal is to design the next generation of neural interfaces that allow single-cell resolution when communicating with the nervous system. To achieve this, he has conceived a new way of reading information from the neural system.
NeuroDiscovery | Postdoctoral Fellowship
Lead Researcher(s): Jessica Nowicki
By performing a molecular and neural network analysis across behaviorally divergent pair bonding species, Dr. Jessica Nowicki will use the power of comparative analysis to reveal core mechanisms that regulate pair bonding.
NeuroDiscovery | Postdoctoral Fellowship
Lead Researcher(s): Daniel Bear
Dr. Daniel Bear propose to augment state-of-the-art neural networks with two biologically-inspired properties: the ability to represent the physical world as it changes over time and the ability to learn from self-created signals rather than explicit human instruction.
NeuroEngineering | Neuroscience:Translate
Developing an automated seizure detection and localization system based on deep neural networks, EEG data, and real-time video with the goal to dramatically increase neurologist diagnostic capabilities while improving quality of care.
NeuroEngineering | Neuroscience:Translate
The goal of the project is to develop this promising technology for clinical application, moving beyond new scientific insights and making a real-world impact.
NeuroEngineering | Neuroscience:Translate
Project's stimulation method may provide a powerful tool to reduce disability after a stroke, and the wearable form factor allows users to receive intensive therapy during their normal daily routine

Pages