I’m currently an Associate Professor of Statistics and Sociology at the University of Washington. I’m also a core faculty member in the Center for Statistics and the Social Sciences and a Senior Data Science Fellow at the eScience Institute.

I’m the current Editor of the Journal of Computational and Graphical Statistics.

My research covers a variety of topics in statistics and data science, typically motivated by scientific questions in global health, economics, demography, and sociology. Please see my publications, software, and working papers. More information about OpenVA, our suite of open tools to manage and analyze verbal autopsy surveys, is available here.

News: I’m excited and humbled to be a 2019 recipient of the NIH Director’s New Innovator Award.

I currently have multiple openings for postdoctoral collaborators. Application instructions are here.

Technical reports and working papers

Please see arXiv for the most up to date list of working papers.

• Quantifying heterogeneity in SARS-CoV-2 transmission during the lockdown in India
• Post-prediction inference
• Verbal Autopsy in Civil Registration and Vital Statistics: The Symptom-Cause Information Archive
• Anomaly Detection in Large Scale Networks with Latent Space Models
• Consistently estimating graph statistics using Aggregated Relational Data
• Estimating spillovers using imprecisely measured networks (code)
• Modeling the social media relationships of Irish politicians using a generalized latent space stochastic blockmodel
• Quantifying the contributions of training data and algorithm logic to the performance of automated cause-assignment algorithms for verbal autopsy
• Standard errors for regression on relational data with exchangeable errors code
• Examining Racial Segregation in Associative Networks on Twitter
• Migrants, information, and working conditions in Bangladeshi garment factories

• tylermc@uw.edu
• tyler.mccormick
• Box 354322, University of Washington, Seattle, WA 98195-4322, USA