Alex (Aleksandr) Simma

I am a PhD student at Berkeley and my advisor is Mike Jordan My research interests center on a field called Machine Learning, which is at the intersection of Computer Science, Statistics and Optimization. I am interested both in fundamental machine learning research, and the application of learning approaches to other disciplines, in particular biology and finance.

To see some of my work, take a look at

• Aleksandr Simma, Moises Goldszmidt, John MacCormick, Paul Barham, Richard Black, Rebecca Isaacs, Richard Mortier. CT-NOR: Representing and Reasoning About Events in Continuous Time, in UAI 2008
• Paul Barham; Richard Black; Moises Goldszmidt; Rebecca Isaacs; John MacCormick; Richard Mortier; Aleksandr Simma. Constellation: automated discovery of service and host dependencies in networked systems
• Andrew Kehler, Douglas Appelt, Lara Taylor, and Aleksandr Simma. The (Non)Utility of Predicate-Argument Frequencies for Pronoun Interpretation, in the Proceedings of the Annual Meeting of the North American Chapter of the Association for Computational Linguistics (HLT/NAACL 2004), Boston, MA, May 2004.
• Andrew Kehler, Douglas Appelt, Lara Taylor, and Aleksandr Simma. Competitive Self-Trained Pronoun Interpretation, in the Proceedings of the Annual Meeting of the North American Chapter of the Association for Computational Linguistics (HLT/NAACL 2004), Boston, MA, May 2004.