News

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

About me

I am open to research collaborations with students interested in multimodal GenAI evaluation or related areas. Feel free to reach out with a brief outline of your project idea.

I was a Staff Applied Research Scientist at Snorkel AI, where I worked on synthetic data generation to evaluate the reasoning capabilities and knowledge grounding of large language models (LLMs), as well as on search and retrieval systems for online fashion retail applications.

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 Evaluation
• Lifelong 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