معرفی
Dr. Lyndsay Kerr is a Chancellor’s Fellow in the Department of Mathematics and Statistics within the Faculty of Science at the University of Strathclyde. She completed her PhD at Strathclyde and held a postdoctoral position at the University of Edinburgh’s Institute of Genetics and Cancer before returning to Strathclyde as a faculty-level researcher. Her work bridges mathematical modeling and biomedical applications, particularly in epigenetics and DNA methylation.
- Doctor of Philosophy, The Discrete Coagulation-Fragmentation System, University of Strathclyde (2016–2020)
Her research focuses on understanding the patterning of chemical modifications on DNA, especially DNA methylation, and how these relate to cellular function and diseases like cancer. She combines large-scale genomic data analysis—often using terabytes of Nanopore sequencing data—with the development of mathematical models such as cluster mean-field theories to describe methylation dynamics. Her interdisciplinary approach integrates bioinformatics, statistical analysis, and dynamical systems theory.
The recent publications highlight a strong trend in modeling DNA methylation patterns, analyzing long-read sequencing data, and investigating epigenetic mechanisms in heterochromatin. Her work spans applied mathematics, computational biology, and molecular genetics, demonstrating a consistent focus on bridging theory and experimental genomics.
- Carnegie Trust Scholarship for PhD
- Chancellor’s Fellowship at University of Strathclyde
Dr. Kerr serves as Principal Investigator on multiple funded research projects, including those supported by EPSRC and the Carnegie Trust, focusing on DNA methylation in cancer and mathematical modeling of biological systems. She teaches undergraduate and postgraduate courses in mathematics and statistics at Strathclyde and has delivered a Mathematical Biology course at the African Institute for Mathematical Sciences in South Africa, reflecting her commitment to education and international collaboration.
She is actively involved in research projects involving interdisciplinary teams at Strathclyde and with external collaborators in genetics and cancer research. Her lab integrates computational modeling with genomic data science, working on large-scale epigenetic datasets to uncover biological mechanisms underlying disease.
