News

• I recently joined Oracle (OCI) as a Principal Applied Scientist!

About me

I am a Principal Applied Scientist at Oracle working on Multimodal GenAI.

Prior to that, I was a Research Scientist at Bosch, where I focused on addressing Open-World problems such as Object Detection and Segmentation within the context of self-driving scenes. Additionally, I specialized in multimodal (Vision-Language) representation learning for lifelong learning.

Before joining Bosch, I was a postdoctoral researcher at Mila under the supervision of Joelle Pineau. My research during this period centered on two key streams: developing a theoretical understanding of Catastrophic Forgetting and exploring the application of self-supervised learning in Reinforcement Learning.

I earned my Ph.D. from McGill University where I delved into cutting-edge topics such as Generative Adversarial Networks (GANs), with a specific focus on addressing mode collapse problems. In tandem, I explored the realm of deep reinforcement learning, where I tackled exploration challenges by implementing innovative multimodal policies.

Research Interests

• Vision Language Model
• Large Language Model
• Multimodal Representation Learning
• Lifelong Learning
• Reinforcement learning

Education

• PhD Operation Management (2014-2019) - McGill university
• MSc Applied Mathematics (2012-2013) - University College London
• Bsc Mechanical Engineering (2010-2013) - Arts et Metiers ParisTech