Dr Kaitao Lai
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Dr Kaitao Lai

Computational Biologist, Honorary Lecturer, Transplant Genomics Group, Centre for Transplant and Renal Research, Westmead Institute for Medical Research
Dr Kaitao Lai

Dr Kaitao Lai has extensive experience in computational biology and bioinformatics from multiple disciplines. He is a post-doctoral researcher with the Transplant Genomics Group, Centre for Transplant and Renal Research at Westmead Institute for Medical Research, Faculty of Medicine and Health, University of Sydney.

As a computational biologist, his academic and research pursuits are characterised by a deep interest in the following areas:

• Developing a predictive risk score for kidney transplant outcomes using multi-ethnic genetic data integration and precision medicine principles

• Integrative multi-omic data analysis for comprehensive cancer profiling

• High-throughput genomic data interpretation, with a focus on RNA-Seq differential gene expression analysis

• Elucidation of cancer subtypes and biomarker discovery through multi-omic approaches

• Evolutionary genetics and structural variations contributing to oncogenesis

• Metagenomic insights into the tumor microenvironment

• Single-cell transcriptomics to understand intra-tumor heterogeneity

• Application of machine learning, especially the Random Forest model, for predictive modeling in oncology

• Exploring drug resistance mechanisms and metabolic reprogramming in cancer through multi-omic data integration

• Quantum computing applications in large-scale omic data analysis for advancing precision medicine

He seeks to create the world’s first polygenetic risk score for kidney transplant outcomes in the transplant genomics group by contributing expertise in bioinformatics or statistical genetics. He spearheads this project and ultimately develops predictive models that can be applied in a clinical setting.

He is dedicated to harnessing machine learning and multi-omic data analytics to tackle complex questions in cancer research, with the ultimate goal of contributing to the advancement of personalised medicine and therapeutic strategies.

Kaitao completed his Ph.D. in 2015 in identifying and characterising genome diversity inTriticum aestivum(bread wheat). In his postdoc career, he worked on metagenomic analysis of soil organisms at Western Sydney University, and then turned his attention to humans and focused on big data analysis in machine learning at CSIRO, structural variation of neuropathy at ANZAC Research Institute, cancer microbiome from prostate cancer at School of Medical Sciences and polygenetic risk score for kidney transplant outcomes at Westmead Institute for Medical Research.

Bioinformatics, Structural variation, Genetic variation, Metagenomics, Machine learning

Project: Advancing Kidney Transplant Outcomes through Precision Medicine: A Genomics Approach

This groundbreaking research project, led by Westmead Institute for Medical Research (WIMR) under the direction of Professor Philip O’Connell and supported by a $2.474 million grant from the Medical Research Future Fund (MRFF) Genomics Health Futures Mission, aims to revolutionize kidney transplantation outcomes. By developing and validating a genetic risk score for kidney transplantation, the project seeks to identify patients at risk of acute rejection and long-term graft loss at the time of transplantation. Leveraging large multi-ethnic databases to understand the impact of genetic variation on transplant survival, this initiative embodies the precision medicine approach. It focuses on tailoring treatment strategies to individual genetic profiles to enhance the success rates of transplants, address the critical challenge of improving long-term graft survival, and significantly impact patient care globally.

AGTA2019 (Melbourne) Travel Awards by Australian Genomic Technologies Association Annual Conference 2019, Oct 2019

H&B Award 2017 for Outstanding Collaboration by Health & Biosecurity Unit, CSIRO, Dec 2017

AGTA2017 (Hobart) Travel Awards by Australian Genomic Technologies Association Annual Conference 2017, Nov 2017

Grains Research & Development Corporation (GRDC) Travel Awards for the Plant and Animal Genome (PAG) XXI conference, Sep 2012

The 2012 School of Agriculture and Food Science (SAFS) RHD Travel Awards for the Plant and Animal Genome (PAG) XXI conference, Sep 2012

Australian Postgraduate Award Industry (APAI) scholarship by Australian Research Council (ARC), Jul 2010-Jun 2013

Cancer

Publications

Book Chapters

  • Lai, K., Twine, N., O'Brien, A., Guo, Y., Bauer, D. (2019). Artificial Intelligence and Machine Learning in Bioinformatics. In S. Raganathan, M. Gribskov, K. Nakai. C. Schonbach (Eds.), Encyclopedia of Bioinformatics and Computational Biology, (pp. 272-286). United States of America: Elsevier. [More Information]
  • Lai, K. (2016). WheatGenome. info: A Resource for Wheat Genomics Resource. In David Edwards (Eds.), Plan Bioinformatics - Methods and Protocols (Second Edition), (pp. 203-213). New york: Humana Press. [More Information]
  • Lai, K., Lorenc, M., Edwards, D. (2015). Molecular Marker Databases. In Jacqueline Batley (Eds.), Plant Genotyping: Methods and Protocols, (pp. 49-62). New York: Springer. [More Information]

Journals

  • Cutrupi, A., Narayanan, R., Perez-Siles, G., Grosz, B., Lai, K., Boyling, A., Ellis, M., Lin, R., Neumann, B., Mao, D., Nicholson, G., Vucic, S., Kennerson, M., et al (2023). Novel gene-intergenic fusion involving ubiquitin E3 ligase UBE3C causes distal hereditary motor neuropathy. Brain, 146(3), 880-897. [More Information]
  • Huo, Y., Yang, D., Lai, K., Tu, J., Zhu, Y., Ding, W., Yang, S. (2022). Antioxidant Effects of Resveratrol in Intervertebral Disk. Journal of Investigative Surgery, 35(5), 1135-1144. [More Information]
  • Li, W., Lai, K., Chopra, N., Zheng, Z., Das, A., Diwan, A. (2022). Gut-disc axis: A cause of intervertebral disc degeneration and low back pain? European Spine Journal, 31(4), 917-925. [More Information]

2023

  • Cutrupi, A., Narayanan, R., Perez-Siles, G., Grosz, B., Lai, K., Boyling, A., Ellis, M., Lin, R., Neumann, B., Mao, D., Nicholson, G., Vucic, S., Kennerson, M., et al (2023). Novel gene-intergenic fusion involving ubiquitin E3 ligase UBE3C causes distal hereditary motor neuropathy. Brain, 146(3), 880-897. [More Information]

2022

  • Huo, Y., Yang, D., Lai, K., Tu, J., Zhu, Y., Ding, W., Yang, S. (2022). Antioxidant Effects of Resveratrol in Intervertebral Disk. Journal of Investigative Surgery, 35(5), 1135-1144. [More Information]
  • Li, W., Lai, K., Chopra, N., Zheng, Z., Das, A., Diwan, A. (2022). Gut-disc axis: A cause of intervertebral disc degeneration and low back pain? European Spine Journal, 31(4), 917-925. [More Information]
  • Tu, J., Li, W., Yang, S., Yang, P., Yan, Q., Wang, S., Lai, K., Bai, X., Wu, C., Ding, W., et al (2022). Single-Cell Transcriptome Profiling Reveals Multicellular Ecosystem of Nucleus Pulposus during Degeneration Progression. Advanced Science, 9(3), 2103631. [More Information]

2021

  • Gonzalez-Rajal, A., Marzec, K., McCloy, R., Nobis, M., Chin, V., Hastings, J., Lai, K., Kennerson, M., Hughes, W., Vaghjiani, V., Burgess, A., et al (2021). A non-genetic, cell cycle dependent mechanism of platinum resistance in lung adenocarcinoma. eLife, 10, 1-28. [More Information]

2020

  • Johnson, T., Schelch, K., Lai, K., Marzec, K., Kennerson, M., Grusch, M., Reid, G., Burgess, A. (2020). YB-1 knockdown inhibits the proliferation of mesothelioma cells through multiple mechanisms. Cancers, 12(8), 1-21. [More Information]

2019

  • Lai, K., Twine, N., O'Brien, A., Guo, Y., Bauer, D. (2019). Artificial Intelligence and Machine Learning in Bioinformatics. In S. Raganathan, M. Gribskov, K. Nakai. C. Schonbach (Eds.), Encyclopedia of Bioinformatics and Computational Biology, (pp. 272-286). United States of America: Elsevier. [More Information]
  • Abadir, E., Gasiorowski, R., Lai, K., Kupresanin, F., Romano, A., Silveira, P., Lo, T., Fromm, P., Kennerson, M., Iland, H., Ho, P., Hart, D., Clark, G., et al (2019). CD300f epitopes are specific targets for acute myeloid leukemia with monocytic differentiation. Molecular Oncology, 13(10), 2107-2120. [More Information]

2018

  • Jeffries, T., Rayu, S., Nielsen, U., Lai, K., Ijaz, A., Nazaries, L., Singh, B. (2018). Metagenomic Functional Potential Predicts Degradation Rates of a Model Organophosphorus Xenobiotic in Pesticide Contaminated Soils. Frontiers in Microbiology, 9(February), 147. [More Information]
  • Li, J., Lin, J., Pei, C., Lai, K., Jeffries, T., Tang, G. (2018). Variation of soil bacterial communities along a chronosequence of Eucalyptus plantation. PeerJ, 6, e5648. [More Information]

2017

  • Trivedi, P., Delgado-Baquerizo, M., Jeffries, T., Trivedi, C., Anderson, I., Lai, K., McNee, M., Flower, K., Singh, B., Minkey, D., et al (2017). Soil aggregation and associated microbial communities modify the impact of agricultural management on carbon content. Environmental Microbiology, 19(8), 3070-3086. [More Information]
  • Montenegro, J., Golicz, A., Bayer, P., Hurgobin, B., Lee, H., Chan, C., Visendi, P., Lai, K., Dolezel, J., Batley, J., et al (2017). The pangenome of hexaploid bread wheat. Plant Journal, 90(5), 1007-1013. [More Information]

2016

  • Lai, K. (2016). WheatGenome. info: A Resource for Wheat Genomics Resource. In David Edwards (Eds.), Plan Bioinformatics - Methods and Protocols (Second Edition), (pp. 203-213). New york: Humana Press. [More Information]

2015

  • Lai, K., Lorenc, M., Lee, H., Berkman, P., Bayer, P., Visendi, P., Ruperao, P., Fitzgerald, T., Zander, M., Chan, C., et al (2015). Identification and characterization of more than 4 million intervarietal SNPs across the group 7 chromosomes of bread wheat. Plant Biotechnology Journal, 13(1), 97-104. [More Information]
  • Lai, K., Lorenc, M., Edwards, D. (2015). Molecular Marker Databases. In Jacqueline Batley (Eds.), Plant Genotyping: Methods and Protocols, (pp. 49-62). New York: Springer. [More Information]

2013

  • Zander, M., Patel, D., Van de Wouw, A., Lai, K., Lorenc, M., Campbell, E., Hayward, A., Edwards, D., Raman, H., Batley, J. (2013). Identifying genetic diversity of avirulence genes in Leptosphaeria maculans using whole genome sequencing. Functional and Integrative Genomics, 13(3), 295-308. [More Information]

2012

  • Lee, H., Lai, K., Lorenc, M., Imelfort, M., Duran, C., Edwards, D. (2012). Bioinformatics tools and databases for analysis of next-generation sequence data. Briefings in Functional Genomics, 11(1), 12-24. [More Information]
  • Lorenc, M., Hayashi, S., Stiller, J., Lee, H., Manoli, S., Ruperao, P., Visendi, P., Berkman, P., Lai, K., Batley, J., et al (2012). Discovery of Single Nucleotide Polymorphisms in Complex Genomes Using SGSautoSNP. Biology, 1(2), 370-382. [More Information]
  • Berkman, P., Lai, K., Lorenc, M., Edwards, D. (2012). Next-generation sequencing applications for wheat crop improvement. American Journal of Botany, 99(2), 365-371. [More Information]

2011

  • Berkman, P., Skarshewski, A., Lorenc, M., Lai, K., Duran, C., Ling, E., Stiller, J., Smits, L., Imelfort, M., Manoli, S., et al (2011). Sequencing and assembly of low copy and genic regions of isolated Triticum aestivum chromosome arm 7DS. Plant Biotechnology Journal, 9(7), 768-775. [More Information]