Isaac Cohen Sabban

I worked at Jellysmack as an Applied Scientist. I develloped a video recommendation model for Facebook. Furthermore, I also used NLP approaches to extract topics from YouTube videos.

Previously, I was a PhD student at LPSM and at Pacifica (Crédit Agricole Assurance) under the supervision of Olivier Lopez (LPSM). During my PhD thesis, I combined Machine Learning algorithms with survival analysis and Extreme Values Theory for improving the outcome of insurance claims. After my PhD, I worked for PacketAI as a Machine Learning Engineer. I used Deep Learning methods for monitoring IT system by analysis logs and metrics. Also, I worked on a scalable parsing method for logs by using embedding technics.