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Victoria Mazo, PhD

Deep Learning Researcher

victoria.mazo@gmail.com

[CV] [LinkedIn]


A highly enthusiastic Deep Learning researcher with a Theoretical Physics PhD. Over 4 years of experience in Image Classification, Semantic Segmentation, Object Detection, Camera Pose Estimation, Depth Estimation, Human Pose Estimation, GANs and NLP, developing and implementing models and enhancing performance. Proficient in PyTorch, TensorFlow, Keras, Caffe and in programming languages such as Python, Matlab and C++.

I hold a B.Sc., M.Sc. and PhD degrees in Physics and a M.Sc. in Financial Mathematics.

Research interests: SLAM, Depth and Optical Flow estimation, Semantic Segmentation, Generative Models, Autonomious Driving, Robotics, biologically plausible modelling of brain


Open sources:

Population Based Training - implementation of the paper Jaderberg et al. “Population Based Training of Neural Networks” (DeepMind)

Depth Regression - mocular/stereo depth estimation with a regression network (KITTY dataset)


Blogs:

3D Human Pose Estimation


Conferences:

Deep Learning Summer School in Montreal (2017)


Talks:

Generative Adversarial Networks [slides] [video]

GGO and Bronchiectasis Detection using Fully Convolutional Networks [slides]

Object Detection [slides]

A Shallow Introduction To Deep Learning [slides]


Papers:

Deep Learning

R. Shadmi, V. Mazo, O. Bregman-Amitai and E. Elnekave “Fully-convolutional deep-learning based system for coronary calcium score prediction from non-contrast chest CT”, ISBI (2018) [pdf]

V. Mazo, I. Tamir, E. Toledano and E. Elnekave “Recurrent Fully Convolutional DenseNet for Bronchiectasis Detection in CT Imaging”, Submitted to ICML (2017) [pdf]

V. Mazo, I. Tamir, E. Toledano and E. Elnekave “Ground Glass Opacity Detection Using Fully Convolutional Neural Networks”, Submitted to MICCAI (2017) [pdf]

Physics

V. Mazo, E. Shimshoni , C.-W. Huang, S. Carr and H.A. Fertig “Helical quantum Hall edge modes in bilayer graphene: a realization of quantum spin-ladders”, Physica Scripta, Vol. 2015, T165 (2015) [pdf]

V. Mazo, C.-W. Huang, E. Shimshoni, S. Carr and H.A. Fertig “Superfluid-insulator transition of quantum Hall domain walls in bilayer graphene”, Phys. Rev. B 89, 121411 (2014) [pdf]

V. Mazo, E. Shimshoni and H.A. Fertig “Collective edge modes of a quantum Hall ferromagnet in graphene”, Phys. Rev. B 86, 125404 (2012) [pdf]

V. Mazo, E. Shimshoni and H.A. Fertig “Edge states of bilayer graphene in the quantum Hall regime”, Phys. Rev. B 84, 045405 (2011) [pdf]

V. Mazo and J. Sonnenschein “Non critical holographic models of the thermal phases of QCD”, JHEP, Vol. 06, 091(2008) [pdf]