Division of Biology and Medicine
Warren Alpert Physician-Scientist MD/PhD and Advanced Training Program

Alexandra Wong

Computational Molecular Biology Graduate Program
Research Interests oncology, therapeutics, multi-omics, machine learning, toxicity, drug combination synergy

Biography

Alex Wong has completed her PhD in the Computational Biology program in Lorin Crawford's lab at Brown University. Alex's research focuses on building more interpretable machine learning models for cancer drug combination prediction to enable biomarker and target discovery. Her research interests broadly include oncology, machine learning, and multi-omics.
 

Publications

  • Wong, A.M. & Crawford, L. Characterizing Clinical Toxicity in Cancer Combination Therapies. bioRxiv preprint 19 April 2025; doi: https://doi.org/10.1101/2025.04.13.648641
  • Wong, A.M. & Crawford, L. Rethinking cancer drug synergy prediction: a call for standardization in machine learning applications. bioRxiv preprint 24 Dec 2024.  doi: https://doi.org/10.1101/2024.12.24.630216
  • The Cancer Genome Atlas Research Network. Integrated genomic characterization of oesophageal carcinoma. Nature 2017, 541(7636):169-175. PMID: 2805206,  PMCID: PMC5651175, doi:10.1038/nature20805. 
  • Champer, M., Wong, A. M., Champer, J., Brito, I. L., Messer, P. W., Hou, J. Y., & Wright, J. D. (2018). The role of the vaginal microbiome in gynaecological cancer. BJOG : an international journal of obstetrics and gynaecology, 125(3), 309–315. PMID: 28278350, doi: 10.1111/1471-0528.14631