I'm a PhD student currently advised by Stuart Russell, interested in statistical machine learning and probabilistic approaches to AI. In a past life I was an undergrad at Williams College, where I majored in CS and math and wrote a senior thesis with Andrea Danyluk.
- Berkeley CS 188: Introduction to Artificial Intelligence. Fall 2013. Instructors: Dan Klein and Pieter Abbeel.
- Berkeley CS 70: Discrete Mathematics and Probability Theory. Spring 2012. Instructor: Alistair Sinclair.
- Williams CS 361: Theory of Computation. Fall 2009.
- Williams CS 237: Computer Organization. Fall 2008.
- Williams CS 134: Intro to Computer Science. Fall 2007, Spring 2008.
- Moore, D. and Danyluk, A. Deep Transfer as Structure Learning in Markov Logic Networks (2010). Proceedings of the AAAI-2010 Workshop on Statistical Relational AI. Atlanta, GA. (paper, poster)
- Moore, D. Transfer and Structure Learning in Markov Logic Networks (2010). Williams College senior thesis. (pdf)
- Moore, D., Williams, A., and Hanson, A. Recognizing Kitchen Sounds for Monitoring Behavior (2009). Summer 2009 UMass REU project. (poster)
If you're a Williams or Berkeley undergrad thinking about applying to CS grad schools, feel free to get in touch; I'm more than happy to talk about my experiences with the process! I can't guarantee to be helpful, but I can guarantee to be more helpful than either of these guys.