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Brendan David-John

Virginia Tech

Portrait of Brendan David-John
Get to Know Me

How I’d capture the essence of my work in a newspaper headline.

Balancing privacy and security while innovating for the future virtual, augmented, and mixed reality.

Something that excites me in my field...

The overlap between more traditional VR/AR and Privacy/Security academic communities has produced a strong sense of community and collaboration for those at the intersection of HCI/VR/AR/Privacy/Security.

My work has an impact on society because... 

It provides an understanding of risks for emerging technology before they become ubiquitous and supports adoption by providing practical protections that ensure new innovations will be successful and accepted.

I first discovered my passion for this work...

… by working on undergraduate research projects on eye tracking my junior year of undergrad. I quickly realized the role of HCI and human vision in Computer Science, and that Computer Science was more than just making computers run faster or perform better at classification tasks.

I find the most joy in my work when ...
I get to see mentees succeed as a result of their hard work.

My no-fail, power-track, motivational song is...

“Strawberry’s Wake,” Dance Gavin Dance

My hidden talent... 

Scrabble

Best advice I've ever received... 

Don't develop a hammer and then look for the squeaky board it fits, look for the squeaky board, then build the hammer that fits the problem. 

More plainly, evaluate your research ideas by asking, “Who would be so excited if your project is successful that it changes their life? What do you need to accomplish to make your project support this person or their application domain?” 

Current University
Virginia Tech

Research Area
David-John is an assistant professor at Virginia Tech’s Private Eye Lab.

He was the first Native American male to graduate with a doctorate in Computer Science from the University of Florida in 2022. 

He regularly publishes at top VR/AR and eye-tracking venues (IEEE VR, ISMAR, ACM ETRA) and has received funding from CCI, 4-VA, Meta, DARPA, and NSF to support his research. He is a proud member of the American Indian Science & Engineering Society and has been a Sequoyah Fellow since 2013.

He holds a Ph.D. and a master’s in Computer Science and a bachelor’s in  Computational Mathematics.

Alma Maters
University of Florida

Rochester Institute of Technology

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