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

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.

I currently have multiple openings for postdoctoral collaborators. Please see here for more details. Apply directly here.

Open Opportunity: Postdoctoral collaborator

Tyler McCormick and colleagues are seeking multiple Postdoctoral research collaborators (12-month service period) to join an interdisciplinary team working on methodology, data collection, and analysis directed by scientific questions in the social and health sciences.

The scope of the positions is open. Potential projects include, but are not limited to:

• Improving data collection efficiency and accuracy in link-tracing designs (e.g. Respondent driven sampling)

• Partial graph data collection strategies for networks (e.g. Aggregated Relational Data)

• Large scale models for anomaly detection on graphs

• Developing models to represent structure in networks using low dimensional manifolds

• Modeling demographic and health trends in low-resource settings

• Developing a decision-making framework for policy decisions based on predictions statistical and machine learning models

Pleas feel free to email Tyler (tyler.h.mccormick@gmail.com) if you’re interested and would like to discuss potential projects. Please see thmccormick.github.io for further information about recent work and ongoing projects.

Apply directly here.

Applicants must have a Ph.D. in Statistics, Computer Science, Economics, Sociology, or related field by the start date of the position. The group values contributions to diversity, equity and inclusion in STEM fields, and to outreach; these can be described in the cover letter.

Technical reports and working papers

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

• Identifying the latent space geometry of network models through analysis of curvature
• Smart Containment with Active Learning: A Proposal for a Data-Responsive and Graded Approach to COVID-19 (more details)
• Quantifying heterogeneity in SARS-CoV-2 transmission during the lockdown in India
• 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)
• A flexible Bayesian framework to estimate age- and cause-specific child mortality over time from sample registration data
• Verbal Autopsy in Civil Registration and Vital Statistics: The Symptom-Cause Information Archive
• 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