Alberta Johnson
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Alberta Johnson

Applied Statistics PhD Student @ UNC

Akwaaßa!

I am a PhD student in Applied Statistics at the University of Northern Colorado. My research focuses on developing advanced statistical and machine learning methods to improve causal inference and survival analysis. I specialize in combining Bayesian methods with machine learning to quantify uncertainty in sparse datasets, creating robust and reliable models. I am also interested in the application of these methods to pharmaceutical research, particularly in clinical trial analysis, drug development, and the evaluation of treatment efficacy using real-world data.

  • Education
  • Interests
  • PhD in Applied Statistics | University of Northern Colorado, 2025 - Present
  • MS in Applied Statistics & Data Science | University of Texas Rio Grande Valley, 2024
  • BSc in Actuarial Science | University of Cape Coast, Ghana, 2021
  • Bayesian Methods
  • Survival Analysis
  • Causal Inference
  • Machine Learning
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