Florent Frédéric Garcin

I am a phd student at the Artificial Intelligence Lab of the Swiss Federal Institute of Technology, Lausanne (EPFL). My advisor is Boi Faltings. I spent the summer 2012 at Harvard University to work with LiRong Xia (now at Rensselaer Polytechnic Institute). I obtained a MSc in computer science with minor in management of technology from EPFL. I did my master thesis at Tsinghua University under the supervision of FengYuan Ren, Chuang Lin and Jean-Pierre Hubaux.

My research interests are in artificial intelligence in general, machine learning, data science, personalization, human computation and gamification. In particular, I am interested in information aggregation mechanisms such as recommender systems, prediction market, peer prediction.

In my free time, you can find me on the slopes, teaching kids (and grown ups!) how to ski (I'm a ski instructor JS-1) or eating snow while trying to master telemark skiing. Outside the slopes, I try to improve my Chinese level.

What's new?

[Jun 2014]
I successfully defended my PhD thesis "Aggregating Information from the Crowd: ratings, recommendations and predictions"! yeah!
[May 2014]
Our paper on Churn Prediction for High-value Players in Casual Social Games is accepted at the Conference on Computational Intelligence and Games (CIG'14) in Dortmund, Germany.
[May 2014]
I successfully passed my private PhD thesis defence.
[Feb 2014]
I will serve as PC member for the 8th Conference on Recommender Systems (Recsys'14) in Silicon Valley, USA.
[Jan 2014]
I will serve as PC member for the 8th International Conference on Weblogs and Social Media (ICWSM'14) in Ann Arbor, USA.
[Dec 2013]
I am writing my doctoral dissertation...
[Oct 2013]
I passed 汉语水平考试三级 (HSK level 3), the Chinese Proficiency Test.
[Oct 2013]
I will serve as PC member (track on Behavioral Analysis and Personalization) for the 23rd International World Wide Web Conference (WWW'14) in Seoul, Korea.
[Aug 2013]
Our paper on the PEN recsys: a Personnalized News Recommendations Framework is accepted as a long version at the News Recommender Systems Workshop, and for demo at the 7th Conference on Recommender Systems (Recsys'13) in Honk Kong, China.
[Jul 2013]
Our paper on Personnalized News Recommendations with Context Trees is accepted at the 7th Conference on Recommender Systems (Recsys'13) in Honk Kong, China.
[May 2013]
I will serve as PC member for the 7th Conference on Recommender Systems (Recsys'13) in Honk Kong, China.