My PhD work is in the area of Statistical Machine Learning. I study Structured Prediction models — e.g., Markov Random Fields or MRFs, Structured Support Vector Machines or Structured SVMs — with an emphasis on inference and learning algorithms for producing diverse predictions.
My advisor is Rob Rutenbar and I currently collaborate with Dhruv Batra and Pushmeet Kohli.
In my previous life I worked as a Hardware Engineer at National Instruments and Guet.