معرفی
Alexander Fisher is an Assistant Professor of the Practice of Statistical Science at Duke University's Department of Statistical Science, affiliated with the Trinity College of Arts & Sciences. He holds a Ph.D. (2021), M.S. (2018) from UCLA, and a B.S. (2016) from Florida State University. His research focuses on Bayesian statistical methods applied to phylogenetics, divergence time estimation, and epidemiological modeling, with publications in journals like Systematic Biology and Molecular Biology and Evolution. Fisher teaches advanced courses in Bayesian inference, statistical computing, and data science methodologies.
- Education: Ph.D. in Statistics (UCLA, 2021), M.S. (UCLA, 2018), B.S. (Florida State University, 2016)
His work integrates computational statistics with biological problems, emphasizing scalable Bayesian approaches for analyzing large genomic datasets. Recent projects include developing methods for divergence time estimation and applying phylogeographic frameworks to trace viral transmission dynamics. Fisher's teaching portfolio includes courses like Bayesian Statistical Modeling and STA 323D (Statistical Computing).
