About me

I am a graduate Research Assistant in artificial intelligence at Stanford University. I had the chance to work in the labs of Professors Andrew Ng, Silvio Savarese and Daniel Ritchie. I am interested in applying computer vision and unsupervized learning to solve real-world problems.


Ambulatory Atrial Fibrillation Monitoring Using Wearable Photoplethysmography with Deep Learning
Maxime Voisin*, Yichen Shen*, Alireza Aliamiri, Anand Avati, Awni Hannun, Andrew Ng
blogpost, arXiv

CAR-Net: Clairvoyant Attentive Recurrent Network
Amir Sadeghian, Maxime Voisin*, Ferdinand Legros*, Alexandre Alahi, Silvio Savarese
Accepted at ECCV 2018

An Improved Training Procedure for Neural Autoregressive Data Completion
Maxime Voisin, Daniel Ritchie
Accepted at NIPS 2017 Workshop for Bayesian Deep Learning

Work Experience

Research intern in Deep Reinforcement Learning, Apple, 2017
Machine learning intern, Dataiku, 2016


Teaching Assistant for graduate students in Computer Science at Stanford University.
CS229: Machine Learning (Fall 2017) with Professors Andrew Ng and Dan Boneh
CS161: Algorithms (Winter 2016) with Professor Gregory Valiant
CS265/CME309: Randomized Algorithms and Probabilistic Analysis (Fall 2016) with Professor Gregory Valiant