We are a new lab at the University of Vermont, proud to be part of the Electrical and Biomedical Engineering Department. We seek new students and study volunteers to help us grow.
Our mission is to break human neuroimaging out of the lab using new technology and machine learning. By understanding the brain as it operates in real life, we can pave the way for devices that detect problematic brain states in real-time and provide help or support, a sort of pacemaker for the brain.
We can decode brain & eye signals observed while someone is reading to predict how well they'll do on a later comprehension quiz. Can we do it real-time and intervene to help?
The Attentional Orienting Response brain signal occurs when something captures your attention. Detecting it in real-life scenarios may shed light on ADHD & addiction.
Exposure Therapy is the standard for treating anxious kids. To find out which elements help, we're training a deep learning system to detect therapist techniques.
We use a 3D game engine and VR headset to present experiments that mimic real life while maintaining tight control and synchronizing data streams.
As engineers, we are well positioned to apply new technologies like mobile EEG, virtual reality, and computer vision to impactful neuroscience questions.
Increasing naturalism means allowing more artifacts. We use machine learning and environmental context to cut through the noise.
We bring an engineering mindset to neuroscience. This (1) lets us learn about the human brain in ways that other labs can't, and (2) drives us to build things to address the problems we see.
Learn fMRI, mobile EEG, machine learning, virtual reality, gaze tracking, and mobile monitoring. By staying on top of this tech, we can understand which neuroscience questions are newly possible to answer.
We're a new lab, but we already have a great team. Ties to UVM's med school, neuro program, and complex systems center will keep you supported. Collaborations with the NIH, Dartmouth, Columbia, and Brown will grow your career network.
Dr. Jangraw received a BSE in EE from Princeton and a PhD in BME from Columbia. He then served at the NIH for 6 years. He has studied brain-computer interfaces, fMRI Methods, and pediatric mood disorders.
Claire is a junior pursuing a BSE in Biomedical Engineering and minoring in Computer Science. She is interested in developing technologies to learn about and treat neurological disorders.
Clay Kaufmann is a junior studying computer science and math. He is an avid software developer, mainly interested in machine learning and fullstack web development. Clay is also a passionate landscape photographer and cyclist.
Dakota is currently a junior studying biomedical engineering with a concentration in systems and network biology. She is also pursuing a double minor in neuroscience and computer science. Her main academic focus is to combine elements of neuroscience in a way that can be analyzed and better understood through computational analysis such as machine learning. In her free time, she enjoys hiking and reading.
George is a senior studying Electrical Engineering. He has designed, built and driven electric vehicles with the Alternative Energy Racing Organization, a club at UVM, for the past 4 years.
JJ Sheehan is currently pursuing a BSE in Biomedical Engineering with a minor in Computer Science at the University of Vermont. He also serves on the executive board of the Society of Biomedical Engineers, and as President of the Delta Upsilon fraternity.
Olivia is a third-year Biomedical Engineering major on the Cells, Tissues, and Organs Biomechanics track. She hopes to use her UVM BME experience to innovate mental health care or develop dynamic, controllable prosthetics.
Sean Applegate is junior at the University of Vermont studying Biomedical Engineering. Minoring in Computer Science he is interested in using computers to optimize all areas of healthcare from surgery to infrastructure.