Mentor: Michael Baym, PhD
Jasmijn Baaijens is a research fellow in the Baym lab, working on computational methods to study and predict antibiotic resistance. Baaijens performed her PhD research at the Dutch institute for mathematics and computer science (CWI) and obtained her degree at Utrecht University, the Netherlands. Baaijens is interested in graph theory, algorithms and combinatorics, and applying techniques from these fields to solve biological problems. During her PhD she developed several methods for haplotype-aware genome assembly, which together enable accurate, full-length reconstruction of viral genomes within an infection.