For being multiple-years of Machine Learning researcher / scientist / engineer / coder. I am interested in following areas: ranking algorithms / feature analysis / information extraction from large data / Bayesian modeling, or more in general, any machine learning related FUN + CHALLENGING topics. In terms of self-profiling, I define myself as a builder / implementer / coder / an okay-hacker, rather than a writer. Most importantly, I am or I want to be a Nerd, much more than a Smarty. -chris Amicus Plato, sed magis amica veritas

Senior Software Engineer @ to come up soon. From September 2015 to Present (4 months) Applied Scientist @ Data Analytics, Time Series Forecasting, Machine Learning From January 2013 to September 2015 (2 years 9 months) Graduate Student @ Graduate Student of Signal Processing and Pattern Analysis From September 2006 to November 2012 (6 years 3 months) Intern @ Focused on Machine learning, built a MoE model for predicting price of bidding of Ads. From March 2012 to June 2012 (4 months) Intern @ Consultant From January 2012 to February 2012 (2 months)

Ph.D of Engineering, Electronic and Computer Engineering; Machine Learning and Data Mining @ Northeastern University From 2006 to 2012 Master of Engineering, Electronic and Computer Engineering; Signal Processing @ Northeastern University From 2006 to 2009 Bachelor of Engineering, Electronic and Computer Engineering; Signal Processing @ Tsinghua University From 2002 to 2006 high school graduation diploma, Science @ Beijing 4th Middle School From 1996 to 1998 Yan Yan is skilled in: Data Mining, Machine Learning, Pattern Recognition, Numerical Analysis, Algorithms, Shell Scripting, Java, Python, R, Hadoop, MapReduce, Matlab, C, LaTeX, C++