Dr Pavel Krivitsky
- 2009 PhD in Statistics University of Washington, Seattle, WA, USA
- 2006 MS in Statistics University of Washington, Seattle, WA, USA
- 2003 BS in Biometry and Statistics, Cornell University, Ithaca, NY, USA
I develop methods and models for collecting and analysing complex network data and processes with applications in epidemiology and the social sciences. I am particularly interested in unusual or indirectly observed or sampled network data. My work has a strong computational component, and I develop and maintain a number of popular R packages on CRAN.
- Publications
- Awards
- Research Activities
- Teaching and Supervision
-
2024 Mid-career Impact Award for Fundamental Research by UNSW Faculty of Science for contributions to methodology and software tooling for social network analysis.
-
2023 Discussion Paper in Applications and Case Studies section of the Journal of the American Statistical Association for A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks (with Pietro Coletti and Niel Hens).
-
2019 Freeman Award for significant contributions to the scientific study of social structure by an early career researcher.
- 2019 Richards Award for development of publicly social network analysis software (with Martina Morris, Mark Handcock, David Hunter, Steven Goodreau, and Skye Bender-deMoll).
- Statnet Project to produce user-friendly open source software tools for network analysis
- uDASH: UNSW Data Science Hub
My Research Supervision
- Saman Forouzandeh 2021‒
- Yun Pan 2022‒
My Teaching
- MATH3831 (Statistics in Social and Market Research)
- DATA5002 (Data Visualisation)
- MATH5855/ZZSC5855 (Multivariate Analysis)
- DATA1001 (Fundamentals of Data Science)