Interns bring in fresh perspective and ideas, in addition to their lots of hard work! I look for students with interests/background in machine learning and data mining (large scale), as well as algorithm development (theory and/or empirical). Depending on the project, experience in related fields such as natural language, text, IR, or vision, can be a big plus.

Student interns I have worked with:  

• Akshay Balsubramani, U. C. San Diego, adviser Yoav Freund, 2013.
• Judy Hoffman, U. C. Berkeley, adviser Trevor Darrell, 2012.
• Glenn Hartmann, U. Waterloo (undergraduate), 2011.
• Jian Huang, Penn State, adviser C. Lee Giles, 2007.
• Michael Connor, UIUC, adviser Dan Roth, 06.
• Steve Wedig, UCLA, adviser Michael Dyer, 05.
• Varsha Dani, U Chicago, adviser Lance Fortnow, 04.
• Giridhar Kumaran, UMass, adviser James Allan, 04.
• Hema Raghavan, UMass, adviser James Allan, 04.
• Sumit Sanghai, U Washington, adviser Pedro Domingos, 04.