I am a Senior Machine Learning Research lead at RBC Borealis in Toronto. I lead RBC Borealis’ research in Responsible AI as well as projects exploring how to apply Generative AI in the financial domain. I am also a sessional lecturer for the Rotman Master of Management Analytics (MMA) where I teach about Generative AI.

I completed a Ph.D. in computer science at Université de Lorraine in France in 2016. My Ph.D. was a joint project between Université de Lorraine and Orange Labs and focused on learning some of the parameters of reinforcement learning for dialogue systems. I proposed methods to learn a reward function from a set of dialogues rated by humans. I also worked on learning an interpretable representation of the state space.

After my PhD, I joined Maluuba, a Canadian startup, as a research scientist and I worked on user simulation and reinforcement learning for dialogue systems. I then joined Microsoft Research through the acquisition of Maluuba in 2017 as a research manager leading a team focused on conversational AI. The team worked on advancing the state-of-the-art as well as improving Microsoft products with dialogue capabilities.

My current research interests are mainly Responsible AI and Generative AI training and safe deployment. Please use the contact form to reach out about available positions at RBC Borealis.

I have signed the Montreal Declaration for a Responsible Development of Artificial Intelligence as well as the women in tech manifesto.