Brady Neal

Brady Neal is a PhD student at the Mila - Quebec AI Institute, affiliated with Université de Montréal. He has been pursuing his doctoral studies since September 2019, focusing on causal inference and machine learning. Neal is co-advised by prominent researchers Yoshua Bengio and Ioannis Mitliagkas, both of whom are influential figures in the field of artificial intelligence.2

Academic Background and Research

• Previous Education: Neal completed a Master of Science in Artificial Intelligence at Université de Montréal from 2018 to 2019, achieving top grades (A+).1
• Research Interests: His research primarily revolves around generalization in deep learning, where he has contributed to discussions on the bias-variance tradeoff hypothesis.13

Professional Experience

• Founding Engineer: Neal is also the founder of Adventure AI, an educational initiative aimed at teaching children how to engage with AI technologies.1
• Internships and Roles: His experience includes roles as a research intern at Mila and Element AI, where he worked on generative models and causal inference, respectively. He has also served as a senior research scientist at Dataiku, focusing on causal AI and large language models.12

Contributions to Education

Neal has developed a popular online course on causal AI, which has garnered significant attention with over 900,000 views on YouTube. This course aims to educate a broad audience about the principles and applications of causal inference in AI.12

Brady Neal's work reflects a commitment to advancing AI research while also fostering educational opportunities for future generations in this rapidly evolving field.