Joseph Griffis, PhD
Connectomics Engineer at Omniscient Neurotechnology (o8t)- Claim this Profile
Click to upgrade to our gold package
for the full feature experience.
-
English Native or bilingual proficiency
-
Spanish Full professional proficiency
Topline Score
Bio
0
/5.0 / Based on 0 ratingsFilter reviews by:
Experience
-
Omniscient Neurotechnology (o8t)
-
United States
-
Medical Equipment Manufacturing
-
1 - 100 Employee
-
Connectomics Engineer
-
Aug 2021 - Present
My primary responsibilities include acting as a liaison between data science and engineering teams, providing subject matter expertise to support software development, reviewing and refining existing imaging data processing and analysis pipelines, prototyping new imaging data processing and analysis approaches, developing/implementing approaches for benchmarking, validating, and evaluating the performance of imaging data processing and analysis algorithms, and writing scientific and technical documents for product documentation and regulatory submissions.
-
-
-
Washington University in St. Louis
-
United States
-
Higher Education
-
700 & Above Employee
-
Postdoctoral Research Associate
-
May 2017 - Aug 2021
For the first several years, I worked with Maurizio Corbetta and Gordon Shulman. My research focused on clarifying how the structural damage caused by stroke relates to disruptions of resting brain function and to behavioral deficits. I also developed a research software tool (Lesion Quantification Toolkit) for estimating the white matter disconnections caused by stroke and other brain lesions (e.g., tumors, TBI, etc.).For the final year, I worked with Larry Snyder and Janine Bijsterbosch. My research focused on the relationship between the resting-state BOLD signal and electrophysiological signals in non-human primates.
-
-
-
The University of Alabama at Birmingham
-
Higher Education
-
Graduate Research Assistant
-
Jul 2012 - Apr 2017
I was mentored by Jerzy Szaflarski and Kristina Visscher. I conducted basic research focused on how attention affects fMRI activity and connectivity in the early visual system in the human brain, and how attentional modulations of activity/connectivity interact with the the retinotopic organization of early visual areas. I also conducted clinically-oriented research focused on leveraging multi-modal MRI data to elucidate predictors of long-term language outcomes after left hemisphere stroke, and developed a research software tool for automated stroke lesion identification in MRI.
-
-
-
Best Buy
-
Retail
-
700 & Above Employee
-
Lead Tablet and Computing Specialist; Geek Squad Counter Operations
-
Mar 2008 - Jul 2012
-
-
Education
-
University of Alabama at Birmingham
Doctor of Philosophy (Ph.D.), Behavioral Neuroscience -
University of Alabama at Birmingham
Bachelor’s Degree, Cognitive Science