Kathleen Hill is an Associate Professor in the Department of Biology at Western. She is an Alumna of Western [PhD, Zoology] with postdoctoral training at the Mayo Clinic in Rochester MN [Biochemistry] and City of Hope in Duarte CA [Molecular Genetics]. Kathleen’s research training and expertise are in mutation research, environmental mutagenesis, population genetics and genome evolution. Her research uses molecular assays, bioinformatics tools and in silico supervised and unsupervised machine learning approaches to study mutations and genome composition. Her trainees study patterns and associations in mutation data in chromosomal and genome landscapes. Her trainees study genetic variation to gain insight into mutagenesis and selection in models of genetic disorders and carcinogenesis. Kathleen designs and teaches university courses in science communication, genetics, political biology, and bioethics for undergraduate and graduate students.
Radford, JM, Chen, D*, Chernyshova AM, Taylor C*, Guoth AW, Wu T, Hill KA, Thompson GJ. Genetic diversity in termite population. Special Issue of Insects: ‘The Evolution of Insect Societies’ 13(3): 224.
Chen D,* Randhawa GS, Soltysiak MPM,* de Souza CPE, Kari L, Singh SM, Hill KA. (2021). SomaticSiMu: A mutational signature simulator. Bioinformatics. doi: https://doi.org/10.1101/2021.09.30.462618.
Yang X**, Vessey K, Hill KA, Tian L. (2021). Colonization of Brachypodium distachyon by Gluconacetobacter diazotrophicus and its effect on plant growth promotion. Canadian Journal of Plant Science. DOI: 10.1139/cjps-2020-0143
Aria PM, Alipour F, Hill KA, Kari L. (2021). DeLUCS: Deep Learning for Unsupervised Classification of DNA Sequences. PLoS ONE; https://doi.org/10.1371/journal.pone.0261531.
Yang X**, Austin R, Hill KA, Tian L. (2021). Differential gene expression of Brachypodium distachyon roots colonized by Gluconacetobacter diazotrophicus and the role of BdCESA8 in the colonization. Molecular Plant-Microbe Interactions. 2021 Oct;34(10):1143-1156.
doi: 10.1094/MPMI-06-20-0170-R. Epub 2021 Oct 28.
Charnetski K,* Randhawa GS, Chen D,* De Souza CPE, Kari L, Hill KA. (2021). Investigating genomic signatures in influenza A viruses using supervised machine learning: A case study on an emergent H1N1 strain [The Global Undergraduate Awards: Regional Award]. The Undergraduate Library. https://gua.soutron.net/Portal/Default/en-GB/RecordView/Index/1945.
Singh SM, Castellani CA, Hill KA. (2020). Postzygotic somatic mutation in the human brain expand the threshold liability model of Schizophrenia. Front. Psychiatry, 22 October 2020. https://doi.org/10.3389/fpsyt.2020.587162.
Randhawa GS, Soltysiak MPM*, El Roz H*, de Souza CPE, Hill KA, Kari L. (2020). Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study. PLoS One. 2020 Apr 24;15(4):e0232391. doi: 10.1371/journal.pone.0232391. eCollection 2020.
Randhawa GS, Hill KA, Kari L. (2020). MLDSP-GUI: An alignment-free standalone tool with an interactive graphical user interface for DNA sequence comparison and analysis. Bioinformatics. 36(7): 2258–2259.
Randhawa GS, Hill KA, Kari L. (2019). ML-DSP: Machine Learning with Digital Signal Processing for ultrafast, accurate, and scalable genome classification at all taxonomic levels bioRxiv 394932; doi: https://doi.org/10.1101/394932 BMC Genomics. 20(267).
Belontz S, Corcoran P, Davis H, Hill KA, Jazvac K, Robertson K, Wood K. (2019). Shoring: Embracing an Interdisciplinary Approach to Plastics Pollution Awareness and Action. The Society for Diffusion of Useful Knowledge, Blackwood Gallery. May 2019(04): 8-12.
Belontz SL, Corcoran PL, Davis H, Hill KA, Jazvac K, Robertson K, Wood K. Embracing an interdisciplinary approach to plastics pollution awareness and action. Ambio. 2018 Nov 17. doi: 10.1007/s13280-018-1126-8.
Luo B*, Edge AK*, Toelg C, Turley EA, Dean CB, Hill KA, Kulperger RJ. 2018. Spatial statistical tools for genome-wide mutation cluster detection under a microarray probe sampling system. PLoS One. 2018 Sep 25;13(9):e0204156. doi: 10.1371/journal.pone.0204156. eCollection 2018.
trainees supervised* and co-supervised**