Edoardo (Edo) Airoldi

Assistant Professor of Statistics

Research Interests

• Statistical and computational elements for the analysis of complex graphs
• Statistical analysis of signaling and metabolic pathways
• Metabolism and cellular proliferation
• Cancer systems
• Multivariate statistical analysis
• Approximate inference techniques
• Convex and combinatiorial optimization
• Random matrix analysis

Education

• Ph.D. in Computer Science, Carnegie Mellon University, December 2006.
• M.S. in Computational and Statistical Learning, Carnegie Mellon University, August 2003.
• B.S. in Mathematical Statistics, Bocconi University, October 1999.

Experience

• January 2009 -- now, Assistant Professor of Statistics, Harvard University
• December 2006 -- December 2008, Postdoctoral Fellow, Lewis-Sigler Institute for Integrative Genomics & Department of Computer Science, Princeton University

Sample Publications

• A Goldenberg, AX Zheng, SE Fieberg & EM Airoldi (2009). A survey of statistical network models. Foundations & Trends in Machine Learning, in press.
• Z Barutcuoglu, EM Airoldi, V Dumeaux, RE Schapire, & OG Troyanskaya (2009). Aneuploidy prediction and tumor classification with heterogeneous hidden conditional random fields. Bioinformatics, in press.
• EM Airoldi, C Huttenhower, D Gresham, C Lu, AA Caudy, M Dunham, JR Broach, D Botstein, & OG Troyanskaya (2009). Predicting cellular growth from gene expression signatures. PLoS Computational Biology, 5, e1000257. (PDF)
• EM Airoldi, DM Blei, SE Fienberg, & EP Xing (2008). Mixed-membership stochastic blockmodels. Journal of Machine Learning Research, 9, 1981-2014. (PDF)
• MJ Brauer, C Huttenhower, EM Airoldi, R Rosenstein, JC Matese, D Gresham, VM Boer, OG Troyanskaya, & D Botstein (2008). Coordination of growth rate, cell cycle, stress response and metabolic activity in yeast. Molecular Biology of the Cell, 19, 352-367. (PDF)
• EM Airoldi (2007). Getting started in probabilistic graphical models. PLoS Computational Biology, 3, e252 (PDF)
• EM Airoldi, SE Fienberg, & KK Skinner (2007). Whose ideas? Whose words? Authorship of the Ronald Reagan radio addresses. Political Science & Politics, 40, 501-506. (PDF)
• EM Airoldi (2006). Bayesian mixed-membership models of complex and evolving networks. Doctoral dissertation, School of Computer Science, Carnegie Mellon University, PA USA. (PDF)

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