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 closely with Brian Reich in Statistics and Adam Terando in Applied Ecology/USGS. My CASC research involve quantifying the risks surrounding prescribed fires in the Southeast US. I’m also working on other projects around extreme value analysis, Gaussian processes, and neural networks. They’re usually Bayesian and spatial in nature, and tend to have weather 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 still 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. I am always looking for research topics on extreme weather and climate change. More recently, I have started looking for projects surrounding environmental epidemiology.

  • 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