Mr Blake Matthew Seers

Profile Image
Data Analyst/Stats Consultant

Biography

I graduated with a BSc, double majoring in biological sciences and statistics in 2009, and then continued on to do his PGDipSci and Masters in statistics with application to the marine sciences. I was awarded the Auckland Council Student Partnership Programme external scholarship to support my masters research in modelling water quality and sedimentation until I graduated in 2011.

Upon completing my Masters, I worked for my supervisor Dr Nick Shears, researching the combined effects of terrestrially-derived sedimentation and climate change on turbidity in coastal waters. With the help of a scholarship, I started my PhD in statistics and marine science in June 2012 to investigate the likely impacts of climate change on coastal marine environments. Having completed my PhD, I am currently employed as a statistical consultant at the Statistical Consulting Centre, within the Department of Statistics, and work on a wide range of research projects and statistical problems in academia and industry.

Research | Current

Investigating the effects of climate change on coastal environments.

Responsibilities

Blake is currently employed as a consultant for the Statistical Consulting Centre (SCC) within the Department of Statistics at the University of Auckland.

Areas of expertise

Experience and expertise:

  • Multivariate techniques and linear models to investigate climatic and environmental drivers of natural processes
  • Incorporating bayesian statistics to model environmental monitoring and observational data
  • Hierarchical modelling
  • Git and GitHub
  • Statistical programming
  • R package developer, author and maintainer:
    • Download and visualise NZ climate data with clifro (CRAN and GitHub)
    • Calculate wind fetch with fetchR (CRAN and GitHub)
  • Shiny app developer:

Committees/Professional groups/Services

rOpenSci

Selected publications and creative works (Research Outputs)

  • Seers, B. M. (2017). Investigating the Climatic and Oceanographic Drivers of Spatial and Temporal Variation in Coastal Turbidity and Sedimentation The University of Auckland. ResearchSpace@Auckland.
    URL: http://hdl.handle.net/2292/35831