Update README.md

Author: maxbiostat

Diff for: Undegraduate/README.md

@@ -117,7 +117,7 @@ This is joint work with [Diego Mesquita](https://weakly-informative.github.io/).
 
 Skills to be developed: Computational statistics, Bayesian statistics.
 
-T4) **Studying of phylogenetic distances for time-calibrated trees**
+T4) **Studying phylogenetic distances for time-calibrated trees**
 Time-calibrated phylogenies are central objects in Molecular Epidemiology and Phylodynamics.
 Computing distances between trees is fundamental task in the analysis of samples of trees ([Smith, 2022](https://academic.oup.com/sysbio/article/71/5/1255/6486431)), but there is no canonical distance in the space of phylogenies.
 Faced with many choices of metric, what is the analyst to do? In this project the student will start by investigating an easily computable metric on phylogenies proposed by [Kendall & Coljin (2015)](https://arxiv.org/abs/1507.05211). The KC metric takes a convex combination `lambda*TD + (1-lambda)*BD`, where `TD` and `BD`are "topological" and "branch length" distances, respectively. The task is to figure out how to calibrate the free parameter `lambda` automatically such that distances capture important features.