Marie Bieth

Machine learning(deep learning)

Machine learning for medical image processing: • Segmentation of anatomical structures • Quantitative analysis of images • Four first-author publications • Software development in C++ and Python

• Coordination of local heads of 15 programs • Accounts audit for each program • English and math teaching • Working language: thai

Research Assistant Company NameMcGill University Dates EmployedSep 2011 – Jun 2013 Employment Duration1 yr 10 mos LocationRégion de Montréal, Canada Research assistant in the Center for Intelligent Machines at McGill University. Projects in computer vision / image processing: • Registration of 4D human brain PET images • Software development in C++, Matlab • Two first-author publications

Research project: • Computer vision: organ segmentation in CT images • Best Computer Science project award from the Ecole Polytechnique

Oral exam design and grading (advanced mathematics)

• Leading of team of up to 10 persons for first aid interventions • Training of firemen cadets

Research on machine learning for medical computer vision: • Doctoral thesis: Localising Anatomical Structures and Quantifying Tumour Burden in PET/CT Images using Machine Learning • Supervisors: M. Schwaiger, B. Menze

Courses and research on machine learning and computer vision • Master's thesis: Kinetic analysis and inter-­subject registration of brain PET images • Supervisors: K. Siddiqi and A.J. Reader • Two first-author publications. • Department Scholarship and Louise Taylor Scholarship.

Major in Computer Science: images and algorithms

Two-year intensive program in advanced mathematics and physics in preparation for the nation- wide competitive examination to the highly selective French Grandes Ecoles for scientific studies.