Commercial Background
 After buying a
computer at age 10 and developing machine code at 14, I
earned my associate's computer engineering degree and
started my computer consultant career at 21.
 Consulted for
Ericsson, GE Capital, Astra, RMT, and others in
Sweden.
Taught
Microsoft Visual Basic certification courses.
Continued
consulting for CACI and
Crosstier/gedas in
the US.
Developing a
fascination with how the brain operates and math, I
realized that I was meant for the academic life,
accepting an offer to start a Swedish bachelors in
physics I quit my consulting career at age 31.
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Academic Background
Completed a
combined bachelor's and master's in Medical Physics,
including a radiation therapy license, at Stockholm University
and Karolinska Institutet.
Completed my
master's thesis, titled “A Comparison of Mathematical Methods
for Mass Spectrometric Medical Imaging,” under the
leadership of Professors Björn
Johansson and Martin Schalling.
Served as a
software engineer for Professor Vince
Calhoun at the Mind
Research Network (2008).
Developed
neuroimaging software such as the Functional
Network Connectivity toolbox and the Group
InterParticipant Correlation.
Learned
independent component analysis (ICA).
Completed the Structural
and Computational Biology & Medical Biophysics PhD
program at Baylor
College of Medicine (2008-2014).
Served as a
graduate student in Professor Stephen
LaConte's Lab.
Worked with
functional MRI, support vector machines, and mild
traumatic brain injuries.
Dissertation
completed: “Developing Neuroimaging Methods to
Disentangle Mild Traumatic Brain Injury.”
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Current Position 
Serve as a
postdoc fellow at Walter
Reed National Military Medical Center under the
leadership of Drs. John Ollinger, Gerard
Riedy, and Dominic Nathan.
Have developed a
method to detect cortical thinning in mTBI using
Freesurfer.
Have combined a
regressive multivariate permutation test with support
vector regression to detect neuroimage abnormalities
related to a neurobehavioral symptom inventory.
Strong developer
in several languages and tools, including Matlab,
Python, GLM, SPSS, SPM, AFNI, FSL, Freesurfer, and
Broccoli.
Experienced in
real-time neuroimaging, CUDA, SUMA and R.
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