AI Omics: Omics and AI for Disease Biomarker Discovery

AI Omics: This team uses mass spectrometry-based proteomics, machine learning and data visualization strategies to discover disease biomarkers from biofluids for certain diseases

Faculty Mentors:


Centered around high-resolution biological mass spectrometry, we develop biomedical technologies for disease biomarkers from biofluids, such as plasma and urine samples. Aiming at the development of non-invasive diagnosis of cancer and neurodegeneration diseases, we incorporate diverse skills like analytical chemistry, biochemistry, instrumentation, statistics, data science, data visualization, and machine learning for data mining.  Although participants are not required to have biology or chemistry backgrounds, the participants will receive training on analyzing biological data, generating publishable data, and potentially being included as co-authors in high-impact publications. The team will have great opportunities to communicate findings to the general public


Relevant Technologies:

  • Machine Learning
  • Analytical Chemistry
  • Biochemistry

Pre-requisite knowledge/skills:

  • Machine learning
  • Excel
  • R, Python, HTML