Mentorship

Below is a list of the brilliant students I've had the privilege of mentoring through internships that not only focus on real-world applications but also encompass research components where no previous approaches exist. My role has involved advising both the interns and, occasionally, the companies on potential machine learning models, forming pipelines for data collection, model building, and performance evaluation. These mentorships have been conducted in collaboration with Mila, the Quebec AI Institute.

2023

  1. Alexander Hale, MSc student and intern with Microsoft Canada. Project: GPU Usage Reduction of a Conversational Agent.
  2. Sorin Muchi, MSc student and intern with DRW. Project: Outage Prediction for Low Latency Financial Trading Radio Networks
  3. Krishna Maneesha Dendukuri, MSc student and intern with D-Box technologies. Project: Deep Learning for Action Detection in Movies for Haptic Effect Generation.
  4. Tanner Ducharme, MSc student and intern with D-Box technologies. Project: Spectrogram Augmentation for Improving Impulsive Audio Classification.
  5. Jake White, MSc student and intern with Riskfuel Analytics. Project: Consistent and robust volatility surfaces.
  6. Yassir Mamouni, MSc student and intern with Desjardins. Project: Reinforcement Learning Based Recommender Systems.
  7. Prishruit Punia, MSc student and intern with Desjardins. Project: Continual Learning for Recommender Systems.
  8. Kasetty Tejas, MSc student and intern with IntellSport.
  9. Kairavi Bajaj, MSc student and intern with BusPas Inc. Project: An Edge Computing Solution For Real Time Anomaly Detection And Passenger Counting At Bus Stops.

2022

  1. Georges Abou-Rjeili, MSc student and intern with Jumio. Project: Object Occlusion Detection In Documents
  2. Julien Bouvier Tremblay, MSc student and intern with Lux Aerobot. Project: Ship Detection in Optical Remote Sensing Imagery
  3. Narmada Naik, MSc student and intern with Piecemeal. Project: Sales Prediction for Restaurants
  4. Emile Dimas, MSc student and intern with Hydro Quebec. Project: Improving Short-Term Load Forecasting under the Rainbow
  5. Erika Elfassy, MSc student and intern with Phyla Health. Projects: String matching USDA Database to user food entries & Symptom predictions based on diet and nutrients
  6. André Al-Khoury, MSc student and intern with Matrox. Project: Class Activation Maps

2021

  1. Raghav Gupta, MSc student and intern with Nexus Robotics. Project: Crop-Weed Segmentation and Stem Detection.
  2. Fernanda Custodio Pereira do Carmo, MSc student and intern with Hydro Quebec.
  3. Loïc Prenevost, MSc student and intern with Lux Aerobot. Project: Machine-learning driven real-time risk analysis.
  4. Daniel Galarreta-Piquette, MSc student and intern with ESDC (Employment and Social Development Canada). Project: Handwritten text recognition for automated form processing

2020

  1. Sahar Bahrami, MSc student and intern with Paladin AI. Project: Reinforcement Learning for Aviation Training.
  2. Julien Horwood, MSc student and intern with Invivo AI (now known as Valence Labs). Project: Low Data Drug Discovery via Representation and Reinforcement Learning.
  3. Yasmine Dumouchel, MSc student and intern with Caisse de dépôt et placement du Québec.