CV

More information about my job experience is available on LinkedIn.

Education

Ph.D. in Neuroscience, University of Pittsburgh, 2016-2022
- Ph.D. Advisor: Avniel Ghuman
- Center for the Neuroscience
- Center for the Neural Basis of Cognition
B.S. in Neuroscience, University of Pittsburgh 2012-2016
- Summa Cum Laude, Departmental Honors

Research experience

Vision Scientist, Bytedance (Pico XR), 2022-Present
- Studying human visual perception to improve virtual and augmented reality.
Graduate Student Researcher at the University of Pittsburgh, 2016-2022
- Studying human object recognition using electrophysiology, eye-tracking, and machine learning: Read
Intern at Facebook Reality Labs, June-November 2019
- Used electroencephalography [EEG] and cognitive neuroscience to develop better AR/VR interactions: Read
Research Assistant at Carnegie Mellon University, 2014-2016
- Developed better EEG systems using information theoretical approaches and basic neuroscience: Read
Research Assistant at Western Psychatric Institute and Clinic, 2013-2014
- Studied neurological abnormalities in patients with Schizophrenia using structural brain imaging.

Service and Awards

Vision Sciences Society, Student Postdoc Advisory Committee, 2020-2021
Center for the Neural Basis of Cognition, Retreat Organizing Committee, 2019
BIOMAG Student Travel Award, 2018
T32 NS007433-20 Training Grant in Basic Neuroscience, 2017
James E. Bradler Jr. Award for Excellence in Undergraduate Research, 2016
Undergraduate Fellow in the Program of Neural Computation, 2015-2016
Martha and Edna R. Higbee Scholar, 2013
Eagle Scout, 2011

Skills

Programming: Python, MATLAB, C#, C++, R
Data analysis: eye tracking, pupillometry, psychophysics, EEG, MEG
Machine learning: Neural networks, Reinforcement learning, linear classification, regression
Grant Writing
Project Management
Scientific Presentation

Publications

Bottom-up and top-down contributions to ventral temporal cortex organization and dynamics

Boring MJ. Bottom-up and top-down contributions to ventral temporal cortex organization and dynamics. University of Pittsburgh.

Multiple adjoining word- and face-selective regions in ventral temporal cortex exhibit distinct dynamics

Boring MJ, Silson EH, Ward MJ, Richardson RM, Fiez JA, Baker CI, Ghuman AS. Multiple adjoining word- and face-selective regions in ventral temporal cortex exhibit distinct dynamics. Journal of Neuroscience. 41 (29) 6314-6327.

Continuous decoding of cognitive load from electroencephalography reveals task-general and task-specific correlates

Boring MJ, Ridgeway K, Shvartsman M, Jonker TR. Continuous decoding of cognitive load from electroencephalography reveals task-general and task-specific correlates. Journal of Neural Engineering. 2020;17: 056016.

Quantitatively validating the efficacy of artifact suppression techniques to study the cortical consequences of deep brain stimulation with magnetoencephalography

Boring MJ, Jessen ZF, Wozny TA, Ward MJ, Whiteman AC, Richardson RM, et al. Quantitatively validating the efficacy of artifact suppression techniques to study the cortical consequences of deep brain stimulation with magnetoencephalography. Neuroimage. 2019;199: 366–374.

Very high density EEG elucidates spatiotemporal aspects of early visual processing

Robinson AK, Venkatesh P, Boring MJ, Tarr MJ, Grover P, Behrmann M. Very high density EEG elucidates spatiotemporal aspects of early visual processing. Sci Rep. 2017;7: 1–11.

Presentations

Cross-validating source localized MEG and iEEG using single trial decoding of fine-grained information processing dynamics in the fusiform gyrus during visual perception.

August 03, 2018

Poster at BIOMAG, Philidelphia, PA

Matthew J. Boring, PhD.

CV