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Assistant Director, MRI Data and Analysis Services at University of Colorado Boulder
I started my career as a mathematical modeler of kidney and healthcare processes. The urge to understand biology by building biologically-inspired computer models led me to study computational neuroscience at Boston University for my PhD. My primary interest is in feedback models that close the action-perception loop and address the intricacies of how the environment, the mind, and the body interact to create our experience of life. Specialties: active vision, computational modeling of brain-like processes, machine learning, computational vision, MRI brain image analysis, co-registration, segmentation, mathematical models of physiology, proportional hazard models, statistical analysis. Programming/Analysis: Matlab, Scala, Python, OpenCV, FSL, SPM, Slicer, Freesurfer, SAS, C++, Java, bash, sh
Boston University
Doctor of Philosophy (Ph.D.), Computational Neuroscience
January 1, 2011 – January 1, 2014
University of Washington
Masters, Applied Mathematics
January 1, 2005 – January 1, 2006
William & Mary
Bachelors, Mathematics, Physics
January 1, 2001 – January 1, 2005
University of Colorado Boulder
Assistant Director, MRI Data and Analysis Services
January 1, 2022 – August 1, 2025
University of Colorado Boulder
Data Scientist
November 1, 2019 – January 1, 2022
Self-employed
Builder
May 1, 2019 – Present
San Francisco Bay Area
A^3 by Airbus
Contractor
December 1, 2018 – April 1, 2019
A^3 by Airbus
Sr. Deep Learning Engineer
August 1, 2017 – December 1, 2018
Médecins Sans Frontières (MSF)
Hospital Logistician
January 1, 2017 – July 1, 2017
Bangui, Central African Republic
Self-Employed
Builder
May 1, 2015 – January 1, 2017
San Jose, CA
Northeastern University
Postdoc (computer vision)
May 1, 2014 – May 1, 2015
Greater Boston Area
Oregon Health and Science University
Research Assistant II
March 1, 2010 – September 1, 2011
Archimedes
Scientist
September 1, 2006 – August 1, 2009
Cultural Fit Analysis
The candidate's background includes academic research, deep learning engineering, and humanitarian work (MSF), alongside self-employed builder roles. This demonstrates a broad range of interests and adaptability. While the 'Builder' roles are unconventional for a data analyst, they highlight practical problem-solving and project execution. The academic and research roles align well with a data-driven culture, and the MSF experience suggests a commitment to impactful work. The overall fit for a typical corporate data analyst role might require assessing their long-term career aspirations given the varied past.
Soft Skills & Operational Fit
The candidate's diverse experience, including roles in project management (Assistant Director, Hospital Logistician) and self-employment (Builder), suggests strong problem-solving, autonomy, and practical application skills. The role as an intermediary between scientists and HPC centers indicates good communication and collaboration skills within a technical environment. The varied career path, while showing adaptability, might also suggest a preference for diverse challenges over deep specialization in a single domain.