Brief Biographical Sketch:

I have graduated from the University of Waterloo with a degree in Mathematics (major in Computer Science). Throughout my undergrad career I have always been drawn to studies of Artificial Intelligence and probabilistic/statistical approaches to machine learning (i.e. a computer learning tasks usually done by humans).

I joined Google in 2006 and have worked on their Machine Translation project. This project has created the technology behind http://translate.google.com and allowed Google to offer automatic translation between 40+ different languages.

Machine Translation is a fascinating area of Artificial Intelligence. However, it's but a single example of how probability and statistics can be used to solve very complicated problems in practice. There's a vast number of tasks out there that we can teach computers to do well. The question is "how?"

Past Classes