Engineering new ways to study the brain in real life


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About Us

The Glass Brain Lab Loves Real Life.

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.

Considering joining a lab? Help Wanted


What we study and how:

Mindless Reading

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 Aha Moment

The Attentional Orienting Response brain signal occurs when something captures your attention. Detecting it in real-life scenarios may shed light on ADHD & addiction.

Automated Therapy Labeling

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.

Naturalistic Experiments

We use a 3D game engine and VR headset to present experiments that mimic real life while maintaining tight control and synchronizing data streams.

Emerging Tech

As engineers, we are well positioned to apply new technologies like mobile EEG, virtual reality, and computer vision to impactful neuroscience questions.

Denoising & Decoding

Increasing naturalism means allowing more artifacts. We use machine learning and environmental context to cut through the noise.


    Help Wanted

    If you're an engineer, computer scientist, or neuroscientist who can code, we could use your skills.

    Experience with neuroimaging or machine learning are especially helpful.

    Here's why the lab is a great place to be:

    Unique Neuro Questions

    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.

    Cutting-Edge Tech

    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.

    Excellent People

    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.

Want to join us?

See Open Positions


David Jangraw

Principal Investigator

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 Sun

PhD Student

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 Olszko

PhD Student

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 Singh

PhD Student

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 Grenon

PhD Student

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 Bonson

Research Specialist

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 Heininger


Skyler is an undergrad in CS interested in cybersecurity and machine learning. He also is interested in set theory and computability problems.

Lincoln Lewis Esquerre


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 O'Brien


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


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.

Anna Shoudt


Anna is a junior in Biomedical Engineering with minors in computer science and mathematics, and an interest in monitoring how the brain functions. She is also a member of the UVM women's varsity swimming and diving team.


Katie Crouch

Rotating PhD Student

M.S. in Speech-Language Pathology, PhD in Interprofessional Health Sciences

George Spearing

Masters Student

Electrical Engineering undergrad, MS in Computer Science

Dakota Allen

Masters Student

Biomedical Engineering major/MS, double minor in Neuroscience and Computer Science

Spencer Dooley

Masters Student

Data Science major/MS

Jaden Varin

Masters Student

Computer Science major/MS

Peijin Chen

Masters Student

MS in Mathematics

Shania Prytherch

Research Coordinator

BS in Neuroscience from UVM, MPH from University of Colorado

Abbey Knobel


Biomedical Engineering major, Computer Science minor

Oumou Samake


Biomedical Engineering major

Lauren Allen


Biomedical Engineering major

Claire Davis


Biomedical Engineering major, Computer Science minor

JJ Sheehan


Biomedical Engineering major, Computer Science minor

Nicholas Roy


Biomedical Engineering major, Computer Science minor

Clay Kaufman


Computer Science & Mathematics major

Olivia O'Brien


Biomedical Engineering major

Sean Applegate


Biomedical Engineering major, Computer Science minor

Blythe Hattenbach


Biomedical Engineering major, Mathematics minor