Shu (Lisa) Liao

Shu (Lisa) Liao

She/her

Computer Science PhD candidate

About me

Hello! I’m Lisa, a fifth year computer science PhD candidate at Washington University in St. Louis. I am broadly interested in extracting insights from multi-omics data to understand the molecular mechanisms underlying various phenotypes. My current research interest focuses on building explainable models to predict complex traits in aging.

Education

  • B.S. in Computer Science, Washington University in St. Louis, 2021

Publications

  • Acharya, S., Liao, S., Jung, W. J., Kang, Y. S., Moghaddam, V. A., Feitosa, M. F., Wojczynski, M. K., Lin, S., Anema, J. A., Schwander, K., Connell, J. O., Province, M. A., & Brent, M. R. (2024). A methodology for gene level omics-WAS integration identifies genes influencing traits associated with cardiovascular risks: The Long Life Family Study. Human Genetics, 143(9), 1241–1252. https://doi.org/10.1007/s00439-024-02701-1

  • Li, M., Song, Z., Reed, E., Karagiannis, T. T., Andersen, S., Brent, M., Mateusiak, C., Acharya, S., Jung, W. J., Liao, S., Wojczynski, M. K., Feitosa, M. F., O’Connell, J. R., Montasser, M. E., Thorpe, R. J., Jr, Arbeev, K., Milman, S., Tai, A., Perls, T. T., Sebastiani, P., … Monti, S. (2026). Whole blood transcriptional signatures of age and survival identified in long life family and integrative longevity omics studies. GeroScience, 10.1007/s11357-025-02090-x. Advance online publication. https://doi.org/10.1007/s11357-025-02090-x

  • Acharya, S., Moghaddam, V. A., Jung, W. J., Kang, Y. S., Liao, S., Province, M. A., & Brent, M. R. (2026). Finding Significant Hits in Networks: a network-based tool for analyzing gene-level P-values to identify significant genes missed by standard methods. Briefings in bioinformatics, 27(2), bbag061. https://doi.org/10.1093/bib/bbag061

Preprints

  • Moghaddam, V. A., Acharya, S., Schwaiger-Haber, M., Liao, S., Jung, W. J., Thyagarajan, B., Shriver, L. P., Daw, E. W., Saccone, N. L., An, P., Brent, M. R., Patti, G. J., & Province, M. A. (2025). Gene-Embedded Multi-Modal Networks for Population-Scale Multi-Omics Discovery. bioRxiv : the preprint server for biology, 2025.01.22.634403. https://doi.org/10.1101/2025.01.22.634403 (Submitted)

  • Jung, W. J., Acharya, S., Ruskin, D. P., Liao, S., Moghaddam, V. A., Erdenebaatar, Z., & Brent, M. R. (2025). Combining Motifs, CRE Activity, And Gene Expression Data Using ML Greatly Improves the Accuracy of Tissue-Specific TF Network Maps. bioRxiv : the preprint server for biology, 2025.10.10.681634. https://doi.org/10.1101/2025.10.10.681634 (Submitted)

Posters

  • Acharya, S., Liao, S., Jung, W., Kang, E., Moghaddam, V.A., Feitosa, M., Wojczynski, M.K., Lin. S., Anema, J.A., Schwander, K., O’Connell, J., Province, M., Brent, M.R. Multi-omics Integration to Identify Genes Affecting Cardiovascular Diseases Related Traits. Poster presented at
    • Annual Conference of the American Society of Human Genetics (ASHG), Washington DC. (2023, November)
    • Annual Scientific Meeting of the Gerontology Society of America (GSA), Tampa, FL. (2023, November)
    • Annual Meeting of the International Genetic Epidemiology Society (IGES), Denver, CO. (2024, November)
  • Liao, S., Erdenebaatar, Z., Acharya, S., Jung W., M., Brent, M.R. Deciphering pathway contributions to complex traits with a biologically informed neural network. Poster presented at NHGRI Research Training & Career Meeting.

CV

You can download my CV here