Laurent Charlin

Researcher
DISC Type : Cs

Interim Scientific Director at Mila -- Quebec AI Institute

Montreal, Quebec, Canada

Overview

Laurent Charlin serves as the Interim Scientific Director at Mila, the Quebec AI Institute, and is an Associate Professor at HEC Montréal, holding a Canada CIFAR AI Chair. His research focuses on developing machine learning models for decision-making, with expertise in Deep Learning, recommender systems, and continual learning.

Described as an inspiration who strives for excellence, Laurent is dedicated to the responsible development of AI. He actively contributes to AI literacy through talks and media interviews and is enthusiastic about applying AI to solve challenges in education, law, and business, including for cooperatives.

He co-developed the Toronto Paper Matching System (TPMS), a highly influential tool used by over 100 computer science conferences to match academic papers with expert reviewers.

Personality Overview

Cost Conscious

Detail Oriented

Process Focused

The only way to convince them is by showing them examples and ample proof.  They are thorough and always follow a systematic approach. They do not like taking risks at all and go for proven options in the end.

Topics They Care About

Continual Learning
A primary focus of his research is enabling AI models to learn incrementally over time without forgetting previous knowledge, a key challenge in the field.
AI in Education
He shows a strong interest in the application of AI for learning, highlighting work on personalized AI-based tutors like Korbit.
Recommender Systems
This is a core application area of his research, where he develops new machine learning models to improve recommendation capabilities for decision-making.

Media Appearances

Laurent has no verified media appearances

Work History

3-2025
Interim Scientific Director at Mila -- Quebec AI Institute
6-2021
Professeur agrégé at HEC Montréal
6-2016 - 11-2021
Assistant Professor, Canada CIFAR AI Chair at HEC Montréal
7-2015 - 3-2016
Postdoctoral Fellow at McGill University
7-2014 - 6-2015
Postdoctoral Researcher at Columbia University in the City of New York

Education

2008 - 2013
PhD from University of Toronto
2005 - 2007
MMath from University of Waterloo

More Information

Social Presence :

Prographics :

Exp : 11 Location : Montreal, Quebec, Canada Job Level : Mid-senior Designation : Interim Scientific Director at Mila -- Quebec AI Institute
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Insights For Selling To Laurent

During A Call Or A Meeting

DO's

  • When following up with them, expect slowness; use questions to engage them, preferably over email.
  • Use a presentation with information before getting into a live product walkthrough
  • If they are not asking many questions, nudge them to ask questions rather than just starting to talk yourself

DONT's

  • Avoid winging it with them particularly, answer a question only if you know the answer well
  • Do not sound overly eager, modulate your energy levels especially if you are generally enthusiastic
  • Avoid emotional and informal language, stay objective and to the point instead

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Laurent is

  • Low-risk, adoption by others are very important to them, followed by confidence in ROI.
  • Will you ever get a clear answer from Laurent

  • They don’t say no often, they push out the decisions or keep going around in circles.

Insights For Deal Planning

    How fast (or slow) will Laurent move?

  • They do not like to rush and therefore can be quite slow in their decision-making.
  • Can Laurent take some risk or not?

  • They have little risk-appetite and prefer to take measured decisions.

You And Laurent

Personality Compatibility


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