Erkan Buzbas

• Metascience 
• Reproducibility in science
• Computational Statistical Methods
• Bayesian Statistics
  
   

After completing my PhD with Prof. Paul Joyce at the University of Idaho, I worked at the University of Michigan and at Stanford University as a postdoctoral fellow under the supervision of Prof. Noah Rosenberg. My work on theoretical population genetics and metascience are interdisciplinary and I collaborate with faculty from natural, social, mathematical sciences, and humanities.

My work in theoretical population genetics involves developing mathematical models of evolution at the population level and computational statistical methods to perform inference from these models. A particular focus area has been devising statistical methods that are scalable to complex models. My work in meta-research involves creating a meta-scientific framework to gain insight into the process of scientific discovery and issues surrounding reproducibility in science. This is a long-term research program that will investigate the process of scientific discovery from diverse perspectives, using modern philosophy of science and statistics, mathematical modeling, and computational methods.