My name is Philippe Adjiman. I live in Israel, currently working as a Machine Learning and Data Science team leader at Outbrain (the world’s largest content discovery platform). I’ve received my PhD in Artificial intelligence from Paris 11 University in 2006 where I worked on both fundamental and applied research on distributed reasoning in Peer-to-Peer settings and its application to the Semantic Web which led to multiple publications in top AI conferences and journals.
My recent research activities focused on applying machine learning on big data to design recommendations algorithms and ad network optimisation algorithms. Before that, i worked on clustering algorithms that solved several critical needs at ebaY where I worked 2 years from 2007 to 2009. Even if I was mainly part of the research team there, I also participated to the implementation of our prototype in production.
I’m also passionate about programming and implemented several complex systems in C and JAVA that run today in production and are called several millions times a day (I’m particularly proud of one called SPOT, a statistically well founded universal bet generator algorithm used by millions of French and European horse races gamblers every day, I love the commercial they did around it 🙂 ). I’m also an R fan.
This blog is mainly about my latest experiences or experiments with some advanced technologies I’m using at work or for fun during my part time (in particular, check the posts tagged experiments). Also, I’m obsessed by constantly learning new stuff and I like to share them so you’ll find a lot of tutorials. In particular, I’m a big fan of hadoop and its ecosystem so I started a series of tutorials around it.
I hope you’ll enjoy this blog.
You can contact me at adjiman at gmail dot com.