Reetam Majumder

Reetam Majumder

Postdoctoral Fellow

North Carolina State University


I am a Climate Adaptation Postdoctoral Fellow at the Southeast Climate Adaptation Science Center, NCSU. I work with Brian Reich in Statistics and Adam Terando in Applied Ecology/USGS. As part of my CASC research, I’m developing risk models for prescribed fire decision-making in the Southeast US, and studying medium- and long-term wildfire risks under climate change. I’m also working on other projects around extreme value analysis, Gaussian processes, and neural networks. My work is usually Bayesian and spatial in nature, and tend to have climate and ecological applications.

I completed my PhD from the University of Maryland, Baltimore County, in 2021. My research there focused on variational Bayes for hidden Markov models with applications involving remote sensing precipitation data. I was an HPCF RA at UMBC and maintain an interest in distributed computing. I also worked on a (still ongoing) project funded by the NASA Applied Sciences program to develop forest cover classification products for the entirety of Panama.

  • Geostatistics
  • Bayesian inference
  • Extremal processes
  • Climate applications
  • High performance computing
  • PhD in Statistics, 2021

    University of Maryland, Baltimore County

  • MS in Statistics, 2017

    University of Toledo