I am Olivier Moindrot, a second-year master student in ICME at Stanford. I previously graduated from the École polytechnique in France, where I studied applied mathematics and computer science, along with a minor in entrepreneurship.

My interest lies in deep learning, especially in computer vision. I have done an intership at Reminiz in face recogition. I have a lot of experience coding in TensorFlow, and have been contributing on stackoverflow, see my profile here.

During spring quarter 2017, I was a TA for CS231n: Convolutional Neural Networks for Visual Recognition, taught by Justin Johnson, Serena Yeung and Fei-Fei Li. I received a Centennial TA award for my contributions to the class. To help students quickstart their projects, I also wrote a quick TensorFlow tutorial on finetuning VGG over a new dataset, using tf.contrib.data.

In fall 2017, I was a TA for CS131: Computer Vision: Foundations and Applications, taught by Juan Carlos Niebles and Ranjay Krishna.
In winter 2018, I am a TA for CS230: Deep Learning, a new class taught by Andrew Ng and Kian Katanforoosh.

I am among the 2017 Schlumberger Innovation Fellows in ICME.