Martin Durant

Martin Durant

Toronto, Canada
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Martin Durant

Martin Durant

Toronto, Canada
Member since January 9, 2014
Martin is chiefly a data analysis expert. He has worked both in astrophysics and medical imaging, has lived in five different countries, and speaks four languages. Currently he is looking to move from academia to the "real" world so that he can apply his talents to more tangible problems.
Martin is now available for hire
Portfolio
Experience
  • LaTeX, 10 years
  • Python, 10 years
  • Procedural programming, 10 years
  • Linux, 10 years
  • Object-oriented Programming (OOP), 9 years
  • PyQt, 6 years
  • Qt, 6 years
  • Django, 1 year
Toronto, Canada
Availability
Part-time
Preferred Environment
Linux, Python, Spyder, Git, Qt
The most amazing...
...thing I've created is a Breast MRI research platform for SQL and DICOM interaction, data processing and visualization, and computer assisted cancer diagnosis.
Employment
  • Medical Imaging Researcher
    Sunnybrook Research Institute
    2012 - PRESENT
    • Created a Breast MRI research platform implemented as a Qt desktop application with a plug-in analysis system.
    • Implemented SQL interactions via SQLAlchemy and a PostgreSQL layer to access complex interconnected tables recording patient records, histories, and outcomes.
    • Developed an interface to a DICOM image server (PACS) to query and retrieve medical imaging data.
    • Implemented data analysis, including lesion finding and segmentation, as well as dynamic, morphological, and textural measurement, and classification.
    • Coded image processing software, featuring a motion correction algorithm (optical flow) and a generalized registration framework.
    • Handled interactive data visualization, including 2D, 3D, overlays, and coordinate systems.
    Technologies: Python, PostgreSQL, DICOM, Qt, VTK, ITK, machine learning, mathematical morphology, image registration
  • Astrophysicist
    University of Florida
    2009 - 2012
    • Analyzed multi-wavelength observational data (infrared, optical, X-ray, and gamma-ray).
    • Implemented dynamic time-series analysis, including low event rate and unevenly sampled data.
    • Produced attractive, concise result summaries for publication.
    • Created spectral fitting software for ordinary stars based on broad-band photometry.
    • Auto-calibrated coordinate mapping and brightness systems for all wide-field observations.
    Technologies: Python, PyRAF, Ciao, 3D simulation, model fitting, domain expertise (time, image, and spectral)
Experience
  • Star Classifier (Development)
    https://github.com/martindurant/starclassifier

    Given a set of broad-band measurements of brightness for a normal star, it finds the closest-matching library spectrum. It features a simple, attractive GUI display and plot of input data versus model spectrum.

Skills
  • Languages
    Python, C, Bash, SQL-99, SQL, JavaScript, C++
  • Libraries/APIs
    PyQt, jQuery
  • Tools
    LaTeX, Open Office, Inkscape, Gimp
  • Paradigms
    Object-oriented Programming (OOP), Procedural programming, Object-oriented Design (OOD), Functional programming, Imperative programming
  • Platforms
    Linux
  • Frameworks
    Qt, Django, AngularJS, Spark
  • Storage
    MySQL, PostgreSQL
Education
  • Doctorate (Ph.D.) degree in Astrophysics
    University of Toronto - Canada
    2002 - 2006
  • Master's degree in Physics
    University of Oxford - UK
    1998 - 2002
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