Quentin Fruytier

MSc Student in Department of Mathematics and Statistics at McGill under Supervision of Professor Abbas Khalili and Professor Tim Hoheisel.

Research Interests:

My research interests lie at the intersection of Optimization, Statistics and Artificial Intelligence: Machine Learning (ML). My thesis work focuses on the Expectation-Maximization Algorithm (EM), an iterative algorithm used for Maximum Likelihood Estimation (MLE) of statistical models with incomplete data. Meanwhile, I also enjoy spending time experimenting with Deep Learning frameworks on interesting problems such as Traffic Prediction and Stock Trading.

Graduate Teaching Assistant - Winter 2022

Teaching Assistant for Math 141 (Calculus 2) at McGill under Professor Jerome Fortier

Teaching Assistant - Winter 2019

Teaching Assistant for Comp 202 (Foundations of Programming) in python at McGill under Dr. Giulia Alberini

Data Science Intern at Nectar - Summer 2021

Prototyping of supervised and unsupervised machine learning models on sensor data. Documenting model development, model iterations, and benchmarking results. Writing Python scripts to automate the data exploration process. Communicating results and insights to the operations and product teams

Software Engineer Intern at Akamai Technologies - Summer 2020

Developed and implemented software using existing API to ensure correctness of information in production network configuration file used for deploying software to production.

Software Engineer Intern at Matrox Electronics - Summer 2019

Matrox Electronics Systems Ltd. Software Quality Assurance Montreal, QC Created, improved and fixed automated tests for a product that encodes and sends images over a network to another product that displays it, using C# in Visual Studio.

Traffic Prediction using DCRNN

Investigate effect of feature set on accuracy of prediction for traffic prediction using DCRNN

Thesis on EM Algorithm

Section in works

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