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.
Haorui received his BA in Biology and Computer Science from Grinnell College. After losing faith in pure Biology, he is currently studying BME at UVM with a focus on brain imaging and brain-computer interfaces.
Ardyn received a BS from Lehigh and an MS in BME from Carnegie Mellon. Working at the US Army Aeromedical Research Lab for 8 years developed her interest in working with large and multi-faceted biomedical datasets. Ardyn is now pursuing a PhD in BME.
Niharika holds a BS in BME from NJIT and has worked as an Eng. Consultant in pharma companies. She then completed an MS in Data Science at NJIT. Now she plans to combine her knowledge in both fields to explore the brain.
Katie is a Speech and Language Pathologist pursing her PhD in the Interprofessional Health Sciences program. Her driving interest is understanding and describing the conversational behaviors that support satisfying communication.
Kirsten received her BS in Physics from UVM and MS/PhD in Astronomy from SMU in Canada. Her work has included X-ray spectroscopy, SIGINT algorithm development, and software development & database management.
Skyler is an undergrad in CS interested in cybersecurity and machine learning. He also is interested in set theory and computability problems.
Lincoln Lewis is a junior pursuing a Biomedical Engineering major, an Electrical Engineering minor, and a master's in Computer Science. He is interested in BCI's, machine learning, and prosthetics to help people with disabilities.
Kate is a junior in Biomedical Engineering with a minor in Computer Science. She is interested in how artificial intelligence can be used in medicine.
Nathan Fritz is a junior in Biomedical Engineering with a minor in Computer Science and an interest in neuroscience. He is an active member of the club lacrosse team and his fraternity Pi Kappa Phi.
M.S. in Speech-Language Pathology, PhD in Interprofessional Health Sciences
Biomedical Engineering major/MS, double minor in Neuroscience and Computer Science