Karen(Lujie) Chen
Research Analyst
Biography
I got my master degree in Information System Management (MISM) from Carnegie Mellon University in December 2004. I had consistent exposure to data mining related course work and projects during my four semesters there which led me to my position in the lab. I once worked on several data mining/business intelligence projects in application domains of machinery, commercial product, biomedical and medical information system etc. Before that, I spent around 4 years in the business world as financial analyst with Coca-Cola China and as an auditor with Big 4 accounting firm. I once tried out the taste of the journalism by being involved in a Chinese Entrepreneurship research project sponsored by Forbes magazine, finally was not convinced that this is the type of job that I like.
I am a native Chinese from Shanghai, mainland China. I got my Bachelor of Engineering degree from Shanghai Jiaotong University(SJTU), with major in international business and double major in computer science.
Research Interests
I am interested in every aspect of machine learning/data mining that would make it practically useful and finally make the life easier in this world. It’s my goal to craft solution which would indeed address and solve the real problems, thus make end users feel comfortable, convinced and happy…
I have recent interest in information visualization, high performance data retrieval,geo-spatial analytics, medical informatics and causality. I have ongoing interest in data mining from a system perspective, I am worried about the practical issues in implementing and fielding a data mining system.
I am easily get inspired. And easily get bored. I am always looking for new insight, new perspective, new problem and new solutions...
Papers
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Trade-offs between Agility and Reliability of Predictions in Dynamic Social Networks Used to Model Risk of Microbial Contamination of Food
(2009)
Best paper award, ASONAM 2009 -
Dynamic Network Model for Predicting Occurrences of Salmonella at Food Facilities
(2008)
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Learning Predictive Models from Small Sets of Dirty Data
(2005)