From 4ca7a1b9a8c0c7ab1d01cf209248495cb57f7296 Mon Sep 17 00:00:00 2001
From: HugoDelhaye <113189992+HugoDelhaye@users.noreply.github.com>
Date: Tue, 2 Dec 2025 12:30:41 -0500
Subject: [PATCH] Update neuroai_videogames.md with new profiles

Added profiles for Hugo Delhaye.
---
 content/neuroai_videogames.md | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/content/neuroai_videogames.md b/content/neuroai_videogames.md
index a75b5b1..8ebdad7 100644
--- a/content/neuroai_videogames.md
+++ b/content/neuroai_videogames.md
@@ -12,6 +12,12 @@ In this session you will learn how to train agents to act in complex environment
 [Yann Harel](https://scholar.google.com/citations?user=2K-2LacAAAAJ&hl=fr)
 :::
 
+::::{grid}
+:::{grid-item}
+![Hugo Delhaye](https://github.com/SIMEXP/simexp.github.io/blob/main/images/profile_hugo.jpg?raw=true)
+[Hugo Delhaye](https://github.com/HugoDelhaye)
+:::
+
 :::{grid-item}
 ![Jean-Baptiste Bonin](images/empty_profile.png)
 [Jean-Baptiste Bonin](https://github.com/bat0001)
@@ -25,6 +31,8 @@ In this session you will learn how to train agents to act in complex environment
 
 **Yann Harel** is a post-doctoral fellow in the SIMEXP laboratory in University of Montreal, working at the intersection of brain imaging, cognitive neuroscience and interactive environments. He is a  contributor to the Courtois Neuromod project, where he helped design and build  naturalistic neuroimaging datasets, linking real-time videogame behavior with fMRI, physiological and eye-tracking data. His research draws on large-scale open datasets, electrophysiology (EEG, MEG) and fMRI to study learning, attention and flow, as well as practical aspects of human-AI alignment. Beyond data collection, he develops open-source tools for scene-level segmentation, controller instrumentation, and BIDS-compliant pipelines used across multiple labs. He currently leads projects exploring how videogames and real-world tasks can serve as benchmarks for both neuroscience and AI.
 
+**Hugo Delhaye** is a Master’s student in Psychology at Université de Montréal, co-supervised by Lune Bellec and Audrey Durand. His research combines behavioral data, artificial intelligence models, and video game simulations to compare how humans and artificial agents explore and learn from their environments.
+
 **Jean-Baptiste Bonin** is a Master student in Computer Science ...
 
 **Julien Armand** is a Master student in Computer Science ...