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Edoardo M. Airoldi

Edoardo M. Airoldi

D-Index & Metrics

Computer Science

D-Index
46
Citations
19941
World Ranking
6649
National Ranking
2937

Research.com Recognitions

  • 2020 - Fellow of the American Statistical Association (ASA)
  • 2012 - Fellow of Alfred P. Sloan Foundation

Overview

Edoardo M. Airoldi is affiliated with Temple University in the United States. Their research spans several fields within mathematics, particularly focusing on statistics and probability.

The scientist's recent publications include:

  • Stacking models for nearly optimal link prediction in complex networks, 2020, Proceedings of the National Academy of Sciences
  • Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition), 2021, Americanae (AECID Library)
  • Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks, 2020, Journal of the American Statistical Association
  • Induction of social contagion for diverse outcomes in structured experiments in isolated villages, 2024, Science
  • Intersection of the Web-Based Vaping Narrative With COVID-19: Topic Modeling Study, 2020, Journal of Medical Internet Research

Airoldi frequently collaborates with the following coauthors:

  • Laura Forastiere
  • Rachel R. Kelz
  • Luke Keele
  • Nicholas A. Christakis
  • Kathryn Turnbull

Their publications often appear in these venues:

  • arXiv (Cornell University)
  • Proceedings of the National Academy of Sciences
  • Journal of the American College of Surgeons
  • Journal of the American Statistical Association
  • UNC Libraries

The primary area of study is mathematics, with subfields including:

  • Statistics and Probability
  • General Health Professions
  • Statistical and Nonlinear Physics
  • Molecular Biology
  • Artificial Intelligence

Main topics addressed in their work consist of:

  • Advanced Causal Inference Techniques
  • Complex Network Analysis Techniques
  • Statistical Methods and Bayesian Inference
  • Statistical Methods and Inference
  • Bioinformatics and Genomic Networks
  • School Choice and Performance
  • Computational and Text Analysis Methods

Airoldi has been recognized as a Fellow of the American Statistical Association in 2020 and a Fellow of the Alfred P. Sloan Foundation in 2012.

Best Publications

  • Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

    Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin

  • Mixed Membership Stochastic Blockmodels

    Edoardo M. Airoldi;David M. Blei;Stephen E. Fienberg;Eric P. Xing

  • A Survey of Statistical Network Models

    Anna Goldenberg;Alice X. Zheng;Stephen E. Fienberg;Edoardo M. Airoldi

  • Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

    Daniel J. Klionsky;Kotb Abdelmohsen;Akihisa Abe;Joynal Abedin

  • A model of text for experimentation in the social sciences

    Margaret E. Roberts;Brandon M. Stewart;Edoardo M. Airoldi

  • The structural topic model and applied social science

    Margaret Roberts;Brandon Stewart;Dustin Tingley;Edoardo Airoldi

  • Stochastic blockmodels with a growing number of classes.

    David S. Choi;Patrick J. Wolfe;Edoardo M. Airoldi

  • Summarizing topical content with word frequency and exclusivity

    Jonathan Bischof;Edoardo M. Airoldi

  • Post-transcriptional regulation across human tissues.

    Alexander Franks;Edoardo M. Airoldi;Nikolai Slavov

  • Quantitative visualization of alternative exon expression from RNA-seq data.

    Yarden Katz;Eric T. Wang;Jacob Silterra;Schraga Schwartz

  • Mixed Membership Stochastic Block Models for Relational Data with Application to Protein-Protein Interactions

    E. M. Airoldi;D. M. Blei;S. E. Fienberg;E. P. Xing

  • Stochastic blockmodel approximation of a graphon: Theory and consistent estimation

    Edoardo M Airoldi;Thiago B Costa;Stanley H Chan

  • Integrating utility into face de-identification

    Ralph Gross;Edoardo Airoldi;Bradley Malin;Latanya Sweeney

  • Handbook of Mixed Membership Models and Their Applications

    Edoardo M. Airoldi;David Blei;Elena A. Erosheva;Stephen E. Fienberg

  • Block-LDA: Jointly Modeling Entity-Annotated Text and Entity-Entity Links

    Edoardo M. Airoldi;David M. Blei;Elena A. Erosheva;Stephen E. Fienberg

  • Care and Feeding of Topic Models: Problems, Diagnostics, and Improvements

    Edoardo M. Airoldi;David M. Blei;Elena A. Erosheva;Stephen E. Fienberg

  • A natural experiment of social network formation and dynamics

    Tuan Q. Phan;Edoardo M. Airoldi

  • Improving and Evaluating Topic Models and Other Models of Text

    Edoardo M. Airoldi;Jonathan M. Bischof

  • Identification and Estimation of Treatment and Interference Effects in Observational Studies on Networks

    Laura Forastiere;Edoardo M. Airoldi;Fabrizia Mealli

  • Stacking models for nearly optimal link prediction in complex networks.

    Amir Ghasemian;Amir Ghasemian;Amir Ghasemian;Homa Hosseinmardi;Aram Galstyan;Edoardo M. Airoldi

  • Predicting Cellular Growth from Gene Expression Signatures

    Edoardo M. Airoldi;Curtis Huttenhower;David Gresham;Charles Lu

Frequent Co-Authors

Stephen E. Fienberg
Stephen E. Fienberg Carnegie Mellon University
David M. Blei
David M. Blei Columbia University
Eric P. Xing
Eric P. Xing Mohamed bin Zayed University of Artificial Intelligence
Bradley A. Malin
Bradley A. Malin Vanderbilt University Medical Center
Evelina Gatti
Evelina Gatti Aix-Marseille University
Dustin Tran
Dustin Tran Google (United States)
Olga G. Troyanskaya
Olga G. Troyanskaya Princeton University
Alexander van Oudenaarden
Alexander van Oudenaarden University Medical Center Utrecht
Beth Levine
Beth Levine The University of Texas Southwestern Medical Center

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