Christian Jauvin

My interests include programming, data modeling, data science, software architecture, geospatial computing, artificial intelligence, and the societal impact of digital technologies.

I hold a Master’s degree in Computer Science from Université de Montréal. Early in my career, I contributed to foundational research on statistical language modeling with Yoshua Bengio, including the seminal paper A Neural Probabilistic Language Model. Since then, I have built a broad range of expertise through projects in academic, corporate, and freelance settings.

I have worked on software systems in areas such as public health (McGill), video games (Ubisoft), geographic information systems (K2 Geospatial), and climate modeling (Ouranos). My work spans distributed cloud applications, open-source projects, and custom software tools tailored to specific user needs.

My teaching and supervision areas include:

– programming and software architecture;

– machine learning and large language models;

– databases and distributed systems;

– critical thinking applied to technology.

I also have a strong interest in online education and the design of rich and engaging learning experiences, having followed closely the emergence of MOOCs since the early 2010s.

The list of my publications, my personal blog.

Here is a discussion I had (in French) with my colleague Daniel Lemire in the summer of 2025, and which will be part of an introduction to AI course, soon to be offered.